Overview

Dataset statistics

Number of variables616
Number of observations382
Missing cells0
Missing cells (%)0.0%
Total size in memory1.8 MiB
Average record size in memory4.8 KiB

Variable types

Categorical1
Numeric615

Alerts

df_index has a high cardinality: 382 distinct values High cardinality
df_index has unique values Unique
同业存单 has 126 (33.0%) zeros Zeros
同业存单.9 has 126 (33.0%) zeros Zeros
同业存单.10 has 11 (2.9%) zeros Zeros
同业存单.19 has 11 (2.9%) zeros Zeros
同业存单.20 has 11 (2.9%) zeros Zeros
同业存单.29 has 11 (2.9%) zeros Zeros
同业存单.30 has 13 (3.4%) zeros Zeros
同业存单.39 has 13 (3.4%) zeros Zeros
同业存单.40 has 21 (5.5%) zeros Zeros
同业存单.49 has 21 (5.5%) zeros Zeros
同业存单.50 has 11 (2.9%) zeros Zeros
同业存单.59 has 11 (2.9%) zeros Zeros
同业存单.60 has 11 (2.9%) zeros Zeros
同业存单.69 has 11 (2.9%) zeros Zeros
同业存单.70 has 11 (2.9%) zeros Zeros
同业存单.79 has 11 (2.9%) zeros Zeros
同业存单.80 has 13 (3.4%) zeros Zeros
同业存单.89 has 13 (3.4%) zeros Zeros
国债-合计 has 290 (75.9%) zeros Zeros
国债-合计.1 has 188 (49.2%) zeros Zeros
国债-合计.2 has 199 (52.1%) zeros Zeros
国债-合计.3 has 247 (64.7%) zeros Zeros
国债-合计.4 has 85 (22.3%) zeros Zeros
国债-合计.5 has 371 (97.1%) zeros Zeros
国债-合计.6 has 365 (95.5%) zeros Zeros
国债-合计.7 has 46 (12.0%) zeros Zeros
国债-合计.8 has 80 (20.9%) zeros Zeros
国债-合计.9 has 14 (3.7%) zeros Zeros
国债-合计.10 has 12 (3.1%) zeros Zeros
国债-合计.11 has 13 (3.4%) zeros Zeros
国债-合计.12 has 13 (3.4%) zeros Zeros
国债-合计.13 has 14 (3.7%) zeros Zeros
国债-合计.14 has 12 (3.1%) zeros Zeros
国债-合计.15 has 331 (86.6%) zeros Zeros
国债-合计.16 has 353 (92.4%) zeros Zeros
国债-合计.17 has 11 (2.9%) zeros Zeros
国债-合计.18 has 197 (51.6%) zeros Zeros
国债-合计.19 has 11 (2.9%) zeros Zeros
国债-合计.20 has 15 (3.9%) zeros Zeros
国债-合计.21 has 13 (3.4%) zeros Zeros
国债-合计.22 has 16 (4.2%) zeros Zeros
国债-合计.23 has 18 (4.7%) zeros Zeros
国债-合计.24 has 11 (2.9%) zeros Zeros
国债-合计.25 has 358 (93.7%) zeros Zeros
国债-合计.26 has 373 (97.6%) zeros Zeros
国债-合计.27 has 12 (3.1%) zeros Zeros
国债-合计.28 has 256 (67.0%) zeros Zeros
国债-合计.29 has 11 (2.9%) zeros Zeros
国债-合计.30 has 13 (3.4%) zeros Zeros
国债-合计.31 has 30 (7.9%) zeros Zeros
国债-合计.32 has 32 (8.4%) zeros Zeros
国债-合计.33 has 43 (11.3%) zeros Zeros
国债-合计.34 has 14 (3.7%) zeros Zeros
国债-合计.35 has 376 (98.4%) zeros Zeros
国债-合计.36 has 381 (99.7%) zeros Zeros
国债-合计.37 has 16 (4.2%) zeros Zeros
国债-合计.38 has 209 (54.7%) zeros Zeros
国债-合计.39 has 13 (3.4%) zeros Zeros
国债-合计.40 has 11 (2.9%) zeros Zeros
国债-合计.41 has 12 (3.1%) zeros Zeros
国债-合计.42 has 11 (2.9%) zeros Zeros
国债-合计.43 has 12 (3.1%) zeros Zeros
国债-合计.44 has 12 (3.1%) zeros Zeros
国债-合计.45 has 362 (94.8%) zeros Zeros
国债-合计.46 has 350 (91.6%) zeros Zeros
国债-合计.47 has 18 (4.7%) zeros Zeros
国债-合计.48 has 240 (62.8%) zeros Zeros
国债-合计.49 has 11 (2.9%) zeros Zeros
国债-合计.50 has 12 (3.1%) zeros Zeros
国债-合计.51 has 11 (2.9%) zeros Zeros
国债-合计.52 has 12 (3.1%) zeros Zeros
国债-合计.53 has 14 (3.7%) zeros Zeros
国债-合计.54 has 11 (2.9%) zeros Zeros
国债-合计.55 has 364 (95.3%) zeros Zeros
国债-合计.56 has 365 (95.5%) zeros Zeros
国债-合计.57 has 26 (6.8%) zeros Zeros
国债-合计.58 has 297 (77.7%) zeros Zeros
国债-合计.59 has 11 (2.9%) zeros Zeros
国债-合计.60 has 250 (65.4%) zeros Zeros
国债-合计.61 has 182 (47.6%) zeros Zeros
国债-合计.62 has 207 (54.2%) zeros Zeros
国债-合计.63 has 245 (64.1%) zeros Zeros
国债-合计.64 has 86 (22.5%) zeros Zeros
国债-合计.67 has 160 (41.9%) zeros Zeros
国债-合计.68 has 354 (92.7%) zeros Zeros
国债-合计.69 has 18 (4.7%) zeros Zeros
国债-合计.70 has 14 (3.7%) zeros Zeros
国债-合计.71 has 13 (3.4%) zeros Zeros
国债-合计.72 has 11 (2.9%) zeros Zeros
国债-合计.73 has 12 (3.1%) zeros Zeros
国债-合计.74 has 11 (2.9%) zeros Zeros
国债-合计.75 has 359 (94.0%) zeros Zeros
国债-合计.76 has 360 (94.2%) zeros Zeros
国债-合计.77 has 16 (4.2%) zeros Zeros
国债-合计.78 has 239 (62.6%) zeros Zeros
国债-合计.79 has 11 (2.9%) zeros Zeros
国债-合计.80 has 13 (3.4%) zeros Zeros
国债-合计.81 has 13 (3.4%) zeros Zeros
国债-合计.82 has 13 (3.4%) zeros Zeros
国债-合计.83 has 13 (3.4%) zeros Zeros
国债-合计.84 has 13 (3.4%) zeros Zeros
国债-合计.85 has 322 (84.3%) zeros Zeros
国债-合计.86 has 331 (86.6%) zeros Zeros
国债-合计.87 has 13 (3.4%) zeros Zeros
国债-合计.88 has 47 (12.3%) zeros Zeros
国债-合计.89 has 13 (3.4%) zeros Zeros
国债-新债 has 380 (99.5%) zeros Zeros
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国债-新债.2 has 265 (69.4%) zeros Zeros
国债-新债.3 has 318 (83.2%) zeros Zeros
国债-新债.4 has 169 (44.2%) zeros Zeros
国债-新债.5 has 381 (99.7%) zeros Zeros
国债-新债.6 has 381 (99.7%) zeros Zeros
国债-新债.7 has 97 (25.4%) zeros Zeros
国债-新债.8 has 156 (40.8%) zeros Zeros
国债-新债.9 has 30 (7.9%) zeros Zeros
国债-新债.10 has 194 (50.8%) zeros Zeros
国债-新债.11 has 77 (20.2%) zeros Zeros
国债-新债.12 has 87 (22.8%) zeros Zeros
国债-新债.13 has 121 (31.7%) zeros Zeros
国债-新债.14 has 59 (15.4%) zeros Zeros
国债-新债.15 has 381 (99.7%) zeros Zeros
国债-新债.16 has 377 (98.7%) zeros Zeros
国债-新债.17 has 18 (4.7%) zeros Zeros
国债-新债.18 has 228 (59.7%) zeros Zeros
国债-新债.19 has 11 (2.9%) zeros Zeros
国债-新债.20 has 160 (41.9%) zeros Zeros
国债-新债.21 has 82 (21.5%) zeros Zeros
国债-新债.22 has 87 (22.8%) zeros Zeros
国债-新债.23 has 135 (35.3%) zeros Zeros
国债-新债.24 has 57 (14.9%) zeros Zeros
国债-新债.25 has 381 (99.7%) zeros Zeros
国债-新债.26 has 378 (99.0%) zeros Zeros
国债-新债.27 has 27 (7.1%) zeros Zeros
国债-新债.28 has 286 (74.9%) zeros Zeros
国债-新债.29 has 11 (2.9%) zeros Zeros
国债-新债.30 has 149 (39.0%) zeros Zeros
国债-新债.31 has 140 (36.6%) zeros Zeros
国债-新债.32 has 111 (29.1%) zeros Zeros
国债-新债.33 has 169 (44.2%) zeros Zeros
国债-新债.34 has 62 (16.2%) zeros Zeros
国债-新债.35 has 379 (99.2%) zeros Zeros
国债-新债.36 has 381 (99.7%) zeros Zeros
国债-新债.37 has 23 (6.0%) zeros Zeros
国债-新债.38 has 255 (66.8%) zeros Zeros
国债-新债.39 has 13 (3.4%) zeros Zeros
国债-新债.40 has 238 (62.3%) zeros Zeros
国债-新债.41 has 42 (11.0%) zeros Zeros
国债-新债.42 has 65 (17.0%) zeros Zeros
国债-新债.43 has 108 (28.3%) zeros Zeros
国债-新债.44 has 64 (16.8%) zeros Zeros
国债-新债.45 has 371 (97.1%) zeros Zeros
国债-新债.46 has 366 (95.8%) zeros Zeros
国债-新债.47 has 30 (7.9%) zeros Zeros
国债-新债.48 has 282 (73.8%) zeros Zeros
国债-新债.49 has 11 (2.9%) zeros Zeros
国债-新债.50 has 257 (67.3%) zeros Zeros
国债-新债.51 has 44 (11.5%) zeros Zeros
国债-新债.52 has 57 (14.9%) zeros Zeros
国债-新债.53 has 129 (33.8%) zeros Zeros
国债-新债.54 has 73 (19.1%) zeros Zeros
国债-新债.55 has 379 (99.2%) zeros Zeros
国债-新债.56 has 380 (99.5%) zeros Zeros
国债-新债.57 has 84 (22.0%) zeros Zeros
国债-新债.58 has 309 (80.9%) zeros Zeros
国债-新债.59 has 11 (2.9%) zeros Zeros
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国债-新债.61 has 297 (77.7%) zeros Zeros
国债-新债.62 has 282 (73.8%) zeros Zeros
国债-新债.63 has 298 (78.0%) zeros Zeros
国债-新债.64 has 212 (55.5%) zeros Zeros
国债-新债.67 has 229 (59.9%) zeros Zeros
国债-新债.68 has 358 (93.7%) zeros Zeros
国债-新债.69 has 79 (20.7%) zeros Zeros
国债-新债.70 has 151 (39.5%) zeros Zeros
国债-新债.71 has 48 (12.6%) zeros Zeros
国债-新债.72 has 83 (21.7%) zeros Zeros
国债-新债.73 has 116 (30.4%) zeros Zeros
国债-新债.74 has 61 (16.0%) zeros Zeros
国债-新债.76 has 377 (98.7%) zeros Zeros
国债-新债.77 has 25 (6.5%) zeros Zeros
国债-新债.78 has 275 (72.0%) zeros Zeros
国债-新债.79 has 12 (3.1%) zeros Zeros
国债-新债.80 has 138 (36.1%) zeros Zeros
国债-新债.81 has 36 (9.4%) zeros Zeros
国债-新债.82 has 44 (11.5%) zeros Zeros
国债-新债.83 has 103 (27.0%) zeros Zeros
国债-新债.84 has 28 (7.3%) zeros Zeros
国债-新债.85 has 370 (96.9%) zeros Zeros
国债-新债.86 has 365 (95.5%) zeros Zeros
国债-新债.87 has 15 (3.9%) zeros Zeros
国债-新债.88 has 93 (24.3%) zeros Zeros
国债-新债.89 has 13 (3.4%) zeros Zeros
国债-老债 has 292 (76.4%) zeros Zeros
国债-老债.1 has 205 (53.7%) zeros Zeros
国债-老债.2 has 270 (70.7%) zeros Zeros
国债-老债.3 has 295 (77.2%) zeros Zeros
国债-老债.4 has 155 (40.6%) zeros Zeros
国债-老债.5 has 372 (97.4%) zeros Zeros
国债-老债.6 has 366 (95.8%) zeros Zeros
国债-老债.7 has 121 (31.7%) zeros Zeros
国债-老债.8 has 224 (58.6%) zeros Zeros
国债-老债.9 has 37 (9.7%) zeros Zeros
国债-老债.10 has 13 (3.4%) zeros Zeros
国债-老债.11 has 14 (3.7%) zeros Zeros
国债-老债.12 has 18 (4.7%) zeros Zeros
国债-老债.13 has 20 (5.2%) zeros Zeros
国债-老债.14 has 13 (3.4%) zeros Zeros
国债-老债.15 has 332 (86.9%) zeros Zeros
国债-老债.16 has 356 (93.2%) zeros Zeros
国债-老债.17 has 57 (14.9%) zeros Zeros
国债-老债.18 has 320 (83.8%) zeros Zeros
国债-老债.19 has 11 (2.9%) zeros Zeros
国债-老债.20 has 16 (4.2%) zeros Zeros
国债-老债.21 has 17 (4.5%) zeros Zeros
国债-老债.22 has 27 (7.1%) zeros Zeros
国债-老债.23 has 33 (8.6%) zeros Zeros
国债-老债.24 has 18 (4.7%) zeros Zeros
国债-老债.25 has 359 (94.0%) zeros Zeros
国债-老债.26 has 376 (98.4%) zeros Zeros
国债-老债.27 has 76 (19.9%) zeros Zeros
国债-老债.28 has 343 (89.8%) zeros Zeros
国债-老债.29 has 11 (2.9%) zeros Zeros
国债-老债.30 has 13 (3.4%) zeros Zeros
国债-老债.31 has 41 (10.7%) zeros Zeros
国债-老债.32 has 64 (16.8%) zeros Zeros
国债-老债.33 has 108 (28.3%) zeros Zeros
国债-老债.34 has 27 (7.1%) zeros Zeros
国债-老债.35 has 379 (99.2%) zeros Zeros
国债-老债.37 has 55 (14.4%) zeros Zeros
国债-老债.38 has 323 (84.6%) zeros Zeros
国债-老债.39 has 13 (3.4%) zeros Zeros
国债-老债.40 has 12 (3.1%) zeros Zeros
国债-老债.41 has 13 (3.4%) zeros Zeros
国债-老债.42 has 12 (3.1%) zeros Zeros
国债-老债.43 has 13 (3.4%) zeros Zeros
国债-老债.44 has 14 (3.7%) zeros Zeros
国债-老债.45 has 373 (97.6%) zeros Zeros
国债-老债.46 has 365 (95.5%) zeros Zeros
国债-老债.47 has 52 (13.6%) zeros Zeros
国债-老债.48 has 320 (83.8%) zeros Zeros
国债-老债.49 has 11 (2.9%) zeros Zeros
国债-老债.50 has 12 (3.1%) zeros Zeros
国债-老债.51 has 11 (2.9%) zeros Zeros
国债-老债.52 has 19 (5.0%) zeros Zeros
国债-老债.53 has 19 (5.0%) zeros Zeros
国债-老债.54 has 12 (3.1%) zeros Zeros
国债-老债.55 has 367 (96.1%) zeros Zeros
国债-老债.56 has 367 (96.1%) zeros Zeros
国债-老债.57 has 93 (24.3%) zeros Zeros
国债-老债.58 has 357 (93.5%) zeros Zeros
国债-老债.59 has 11 (2.9%) zeros Zeros
国债-老债.60 has 256 (67.0%) zeros Zeros
国债-老债.61 has 221 (57.9%) zeros Zeros
国债-老债.62 has 268 (70.2%) zeros Zeros
国债-老债.63 has 313 (81.9%) zeros Zeros
国债-老债.64 has 155 (40.6%) zeros Zeros
国债-老债.67 has 263 (68.8%) zeros Zeros
国债-老债.68 has 378 (99.0%) zeros Zeros
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国债-老债.70 has 15 (3.9%) zeros Zeros
国债-老债.71 has 15 (3.9%) zeros Zeros
国债-老债.72 has 14 (3.7%) zeros Zeros
国债-老债.73 has 14 (3.7%) zeros Zeros
国债-老债.74 has 13 (3.4%) zeros Zeros
国债-老债.75 has 359 (94.0%) zeros Zeros
国债-老债.76 has 365 (95.5%) zeros Zeros
国债-老债.77 has 42 (11.0%) zeros Zeros
国债-老债.78 has 326 (85.3%) zeros Zeros
国债-老债.79 has 11 (2.9%) zeros Zeros
国债-老债.80 has 13 (3.4%) zeros Zeros
国债-老债.81 has 13 (3.4%) zeros Zeros
国债-老债.82 has 13 (3.4%) zeros Zeros
国债-老债.83 has 15 (3.9%) zeros Zeros
国债-老债.84 has 13 (3.4%) zeros Zeros
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国债-老债.86 has 345 (90.3%) zeros Zeros
国债-老债.87 has 17 (4.5%) zeros Zeros
国债-老债.88 has 189 (49.5%) zeros Zeros
国债-老债.89 has 13 (3.4%) zeros Zeros
地方政府债 has 345 (90.3%) zeros Zeros
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地方政府债.19 has 11 (2.9%) zeros Zeros
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地方政府债.22 has 53 (13.9%) zeros Zeros
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地方政府债.24 has 97 (25.4%) zeros Zeros
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地方政府债.27 has 231 (60.5%) zeros Zeros
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政金债-合计 has 230 (60.2%) zeros Zeros
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政金债-合计.2 has 90 (23.6%) zeros Zeros
政金债-合计.3 has 176 (46.1%) zeros Zeros
政金债-合计.4 has 17 (4.5%) zeros Zeros
政金债-合计.5 has 340 (89.0%) zeros Zeros
政金债-合计.6 has 240 (62.8%) zeros Zeros
政金债-合计.7 has 369 (96.6%) zeros Zeros
政金债-合计.8 has 381 (99.7%) zeros Zeros
政金债-合计.9 has 14 (3.7%) zeros Zeros
政金债-合计.10 has 14 (3.7%) zeros Zeros
政金债-合计.11 has 11 (2.9%) zeros Zeros
政金债-合计.12 has 11 (2.9%) zeros Zeros
政金债-合计.13 has 14 (3.7%) zeros Zeros
政金债-合计.14 has 11 (2.9%) zeros Zeros
政金债-合计.15 has 277 (72.5%) zeros Zeros
政金债-合计.16 has 165 (43.2%) zeros Zeros
政金债-合计.17 has 370 (96.9%) zeros Zeros
政金债-合计.18 has 381 (99.7%) zeros Zeros
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政金债-合计.20 has 11 (2.9%) zeros Zeros
政金债-合计.21 has 12 (3.1%) zeros Zeros
政金债-合计.22 has 11 (2.9%) zeros Zeros
政金债-合计.23 has 13 (3.4%) zeros Zeros
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政金债-合计.25 has 342 (89.5%) zeros Zeros
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政金债-合计.45 has 329 (86.1%) zeros Zeros
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政金债-合计.47 has 379 (99.2%) zeros Zeros
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政金债-合计.57 has 380 (99.5%) zeros Zeros
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政金债-合计.60 has 11 (2.9%) zeros Zeros
政金债-合计.61 has 11 (2.9%) zeros Zeros
政金债-合计.62 has 13 (3.4%) zeros Zeros
政金债-合计.63 has 27 (7.1%) zeros Zeros
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政金债-合计.66 has 295 (77.2%) zeros Zeros
政金债-合计.67 has 381 (99.7%) zeros Zeros
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政金债-合计.70 has 13 (3.4%) zeros Zeros
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政金债-合计.72 has 11 (2.9%) zeros Zeros
政金债-合计.73 has 12 (3.1%) zeros Zeros
政金债-合计.74 has 11 (2.9%) zeros Zeros
政金债-合计.75 has 308 (80.6%) zeros Zeros
政金债-合计.76 has 149 (39.0%) zeros Zeros
政金债-合计.77 has 373 (97.6%) zeros Zeros
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政金债-合计.81 has 12 (3.1%) zeros Zeros
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政金债-合计.83 has 13 (3.4%) zeros Zeros
政金债-合计.84 has 11 (2.9%) zeros Zeros
政金债-合计.85 has 266 (69.6%) zeros Zeros
政金债-合计.86 has 116 (30.4%) zeros Zeros
政金债-合计.87 has 356 (93.2%) zeros Zeros
政金债-合计.88 has 381 (99.7%) zeros Zeros
政金债-合计.89 has 11 (2.9%) zeros Zeros
政金债-新债 has 374 (97.9%) zeros Zeros
政金债-新债.1 has 359 (94.0%) zeros Zeros
政金债-新债.2 has 351 (91.9%) zeros Zeros
政金债-新债.3 has 381 (99.7%) zeros Zeros
政金债-新债.4 has 167 (43.7%) zeros Zeros
政金债-新债.6 has 356 (93.2%) zeros Zeros
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政金债-新债.8 has 381 (99.7%) zeros Zeros
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政金债-新债.10 has 278 (72.8%) zeros Zeros
政金债-新债.11 has 209 (54.7%) zeros Zeros
政金债-新债.12 has 92 (24.1%) zeros Zeros
政金债-新债.13 has 227 (59.4%) zeros Zeros
政金债-新债.14 has 37 (9.7%) zeros Zeros
政金债-新债.15 has 377 (98.7%) zeros Zeros
政金债-新债.16 has 351 (91.9%) zeros Zeros
政金债-新债.17 has 370 (96.9%) zeros Zeros
政金债-新债.18 has 381 (99.7%) zeros Zeros
政金债-新债.19 has 15 (3.9%) zeros Zeros
政金债-新债.20 has 192 (50.3%) zeros Zeros
政金债-新债.21 has 186 (48.7%) zeros Zeros
政金债-新债.22 has 90 (23.6%) zeros Zeros
政金债-新债.23 has 227 (59.4%) zeros Zeros
政金债-新债.24 has 56 (14.7%) zeros Zeros
政金债-新债.25 has 381 (99.7%) zeros Zeros
政金债-新债.26 has 361 (94.5%) zeros Zeros
政金债-新债.27 has 368 (96.3%) zeros Zeros
政金债-新债.29 has 13 (3.4%) zeros Zeros
政金债-新债.30 has 144 (37.7%) zeros Zeros
政金债-新债.31 has 154 (40.3%) zeros Zeros
政金债-新债.32 has 94 (24.6%) zeros Zeros
政金债-新债.33 has 241 (63.1%) zeros Zeros
政金债-新债.34 has 60 (15.7%) zeros Zeros
政金债-新债.35 has 376 (98.4%) zeros Zeros
政金债-新债.36 has 351 (91.9%) zeros Zeros
政金债-新债.37 has 365 (95.5%) zeros Zeros
政金债-新债.38 has 381 (99.7%) zeros Zeros
政金债-新债.39 has 14 (3.7%) zeros Zeros
政金债-新债.40 has 316 (82.7%) zeros Zeros
政金债-新债.41 has 313 (81.9%) zeros Zeros
政金债-新债.42 has 182 (47.6%) zeros Zeros
政金债-新债.43 has 289 (75.7%) zeros Zeros
政金债-新债.44 has 145 (38.0%) zeros Zeros
政金债-新债.45 has 379 (99.2%) zeros Zeros
政金债-新债.46 has 357 (93.5%) zeros Zeros
政金债-新债.47 has 381 (99.7%) zeros Zeros
政金债-新债.49 has 49 (12.8%) zeros Zeros
政金债-新债.50 has 293 (76.7%) zeros Zeros
政金债-新债.51 has 282 (73.8%) zeros Zeros
政金债-新债.52 has 204 (53.4%) zeros Zeros
政金债-新债.53 has 278 (72.8%) zeros Zeros
政金债-新债.54 has 102 (26.7%) zeros Zeros
政金债-新债.55 has 380 (99.5%) zeros Zeros
政金债-新债.56 has 368 (96.3%) zeros Zeros
政金债-新债.57 has 380 (99.5%) zeros Zeros
政金债-新债.59 has 47 (12.3%) zeros Zeros
政金债-新债.60 has 233 (61.0%) zeros Zeros
政金债-新债.61 has 321 (84.0%) zeros Zeros
政金债-新债.62 has 277 (72.5%) zeros Zeros
政金债-新债.63 has 336 (88.0%) zeros Zeros
政金债-新债.64 has 157 (41.1%) zeros Zeros
政金债-新债.65 has 376 (98.4%) zeros Zeros
政金债-新债.66 has 381 (99.7%) zeros Zeros
政金债-新债.67 has 381 (99.7%) zeros Zeros
政金债-新债.69 has 61 (16.0%) zeros Zeros
政金债-新债.70 has 222 (58.1%) zeros Zeros
政金债-新债.71 has 223 (58.4%) zeros Zeros
政金债-新债.72 has 99 (25.9%) zeros Zeros
政金债-新债.73 has 237 (62.0%) zeros Zeros
政金债-新债.74 has 52 (13.6%) zeros Zeros
政金债-新债.75 has 381 (99.7%) zeros Zeros
政金债-新债.76 has 339 (88.7%) zeros Zeros
政金债-新债.77 has 374 (97.9%) zeros Zeros
政金债-新债.79 has 18 (4.7%) zeros Zeros
政金债-新债.80 has 148 (38.7%) zeros Zeros
政金债-新债.81 has 146 (38.2%) zeros Zeros
政金债-新债.82 has 63 (16.5%) zeros Zeros
政金债-新债.83 has 169 (44.2%) zeros Zeros
政金债-新债.84 has 26 (6.8%) zeros Zeros
政金债-新债.85 has 375 (98.2%) zeros Zeros
政金债-新债.86 has 317 (83.0%) zeros Zeros
政金债-新债.87 has 359 (94.0%) zeros Zeros
政金债-新债.88 has 381 (99.7%) zeros Zeros
政金债-新债.89 has 14 (3.7%) zeros Zeros
政金债-老债 has 231 (60.5%) zeros Zeros
政金债-老债.1 has 156 (40.8%) zeros Zeros
政金债-老债.2 has 92 (24.1%) zeros Zeros
政金债-老债.3 has 177 (46.3%) zeros Zeros
政金债-老债.4 has 25 (6.5%) zeros Zeros
政金债-老债.5 has 340 (89.0%) zeros Zeros
政金债-老债.6 has 254 (66.5%) zeros Zeros
政金债-老债.7 has 377 (98.7%) zeros Zeros
政金债-老债.9 has 12 (3.1%) zeros Zeros
政金债-老债.10 has 13 (3.4%) zeros Zeros
政金债-老债.11 has 11 (2.9%) zeros Zeros
政金债-老债.12 has 13 (3.4%) zeros Zeros
政金债-老债.13 has 14 (3.7%) zeros Zeros
政金债-老债.14 has 11 (2.9%) zeros Zeros
政金债-老债.15 has 282 (73.8%) zeros Zeros
政金债-老债.16 has 186 (48.7%) zeros Zeros
政金债-老债.19 has 11 (2.9%) zeros Zeros
政金债-老债.20 has 11 (2.9%) zeros Zeros
政金债-老债.21 has 12 (3.1%) zeros Zeros
政金债-老债.22 has 11 (2.9%) zeros Zeros
政金债-老债.23 has 13 (3.4%) zeros Zeros
政金债-老债.24 has 11 (2.9%) zeros Zeros
政金债-老债.25 has 343 (89.8%) zeros Zeros
政金债-老债.26 has 290 (75.9%) zeros Zeros
政金债-老债.29 has 11 (2.9%) zeros Zeros
政金债-老债.30 has 13 (3.4%) zeros Zeros
政金债-老债.31 has 13 (3.4%) zeros Zeros
政金债-老债.32 has 13 (3.4%) zeros Zeros
政金债-老债.33 has 14 (3.7%) zeros Zeros
政金债-老债.34 has 13 (3.4%) zeros Zeros
政金债-老债.35 has 317 (83.0%) zeros Zeros
政金债-老债.36 has 202 (52.9%) zeros Zeros
政金债-老债.39 has 13 (3.4%) zeros Zeros
政金债-老债.40 has 14 (3.7%) zeros Zeros
政金债-老债.41 has 12 (3.1%) zeros Zeros
政金债-老债.42 has 12 (3.1%) zeros Zeros
政金债-老债.43 has 18 (4.7%) zeros Zeros
政金债-老债.44 has 13 (3.4%) zeros Zeros
政金债-老债.45 has 332 (86.9%) zeros Zeros
政金债-老债.46 has 277 (72.5%) zeros Zeros
政金债-老债.47 has 380 (99.5%) zeros Zeros
政金债-老债.49 has 11 (2.9%) zeros Zeros
政金债-老债.50 has 14 (3.7%) zeros Zeros
政金债-老债.51 has 14 (3.7%) zeros Zeros
政金债-老债.52 has 13 (3.4%) zeros Zeros
政金债-老债.53 has 25 (6.5%) zeros Zeros
政金债-老债.54 has 11 (2.9%) zeros Zeros
政金债-老债.55 has 357 (93.5%) zeros Zeros
政金债-老债.56 has 299 (78.3%) zeros Zeros
政金债-老债.59 has 11 (2.9%) zeros Zeros
政金债-老债.60 has 12 (3.1%) zeros Zeros
政金债-老债.61 has 11 (2.9%) zeros Zeros
政金债-老债.62 has 14 (3.7%) zeros Zeros
政金债-老债.63 has 27 (7.1%) zeros Zeros
政金债-老债.64 has 12 (3.1%) zeros Zeros
政金债-老债.65 has 366 (95.8%) zeros Zeros
政金债-老债.66 has 295 (77.2%) zeros Zeros
政金债-老债.69 has 11 (2.9%) zeros Zeros
政金债-老债.70 has 14 (3.7%) zeros Zeros
政金债-老债.71 has 11 (2.9%) zeros Zeros
政金债-老债.72 has 11 (2.9%) zeros Zeros
政金债-老债.73 has 12 (3.1%) zeros Zeros
政金债-老债.74 has 12 (3.1%) zeros Zeros
政金债-老债.75 has 309 (80.9%) zeros Zeros
政金债-老债.76 has 177 (46.3%) zeros Zeros
政金债-老债.77 has 381 (99.7%) zeros Zeros
政金债-老债.79 has 11 (2.9%) zeros Zeros
政金债-老债.80 has 13 (3.4%) zeros Zeros
政金债-老债.81 has 13 (3.4%) zeros Zeros
政金债-老债.82 has 12 (3.1%) zeros Zeros
政金债-老债.83 has 13 (3.4%) zeros Zeros
政金债-老债.84 has 11 (2.9%) zeros Zeros
政金债-老债.85 has 271 (70.9%) zeros Zeros
政金债-老债.86 has 145 (38.0%) zeros Zeros
政金债-老债.87 has 378 (99.0%) zeros Zeros
政金债-老债.89 has 11 (2.9%) zeros Zeros

Reproduction

Analysis started2022-03-24 02:34:10.521616
Analysis finished2022-03-24 02:34:12.050984
Duration1.53 second
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

df_index
Categorical

HIGH CARDINALITY
UNIQUE

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2020-01-02
 
1
2021-01-07
 
1
2021-01-20
 
1
2021-01-19
 
1
2021-01-18
 
1
Other values (377)
377 

Unique

Unique382 ?
Unique (%)100.0%

Sample

1st row2020-01-02
2nd row2020-01-03
3rd row2020-01-06
4th row2020-01-07
5th row2020-01-08

Common Values

ValueCountFrequency (%)
2020-01-021
 
0.3%
2021-01-071
 
0.3%
2021-01-201
 
0.3%
2021-01-191
 
0.3%
2021-01-181
 
0.3%
2021-01-151
 
0.3%
2021-01-141
 
0.3%
2021-01-131
 
0.3%
2021-01-121
 
0.3%
2021-01-111
 
0.3%
Other values (372)372
97.4%

同业存单
Real number (ℝ)

ZEROS

Distinct208
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.548586387
Minimum-32.92
Maximum54.36
Zeros126
Zeros (%)33.0%
Negative86
Negative (%)22.5%
Memory size3.1 KiB
2022-03-24T10:34:12.122842image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.92
5-th percentile-7.4215
Q10
median0
Q32.9525
95-th percentile22.3855
Maximum54.36
Range87.28
Interquartile range (IQR)2.9525

Descriptive statistics

Standard deviation9.553892562
Coefficient of variation (CV)3.748702657
Kurtosis6.752765349
Mean2.548586387
Median Absolute Deviation (MAD)0.99
Skewness1.587332438
Sum973.56
Variance91.27686309
MonotonicityNot monotonic
2022-03-24T10:34:12.218946image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0126
33.0%
0.998
 
2.1%
-0.997
 
1.8%
0.987
 
1.8%
-0.56
 
1.6%
1.485
 
1.3%
0.484
 
1.0%
3.463
 
0.8%
0.493
 
0.8%
0.53
 
0.8%
Other values (198)210
55.0%
ValueCountFrequency (%)
-32.921
0.3%
-27.981
0.3%
-24.161
0.3%
-22.971
0.3%
-21.631
0.3%
ValueCountFrequency (%)
54.361
0.3%
46.141
0.3%
45.761
0.3%
43.661
0.3%
42.091
0.3%

同业存单.9
Real number (ℝ)

ZEROS

Distinct208
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.548586387
Minimum-32.92
Maximum54.36
Zeros126
Zeros (%)33.0%
Negative86
Negative (%)22.5%
Memory size3.1 KiB
2022-03-24T10:34:12.298256image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.92
5-th percentile-7.4215
Q10
median0
Q32.9525
95-th percentile22.3855
Maximum54.36
Range87.28
Interquartile range (IQR)2.9525

Descriptive statistics

Standard deviation9.553892562
Coefficient of variation (CV)3.748702657
Kurtosis6.752765349
Mean2.548586387
Median Absolute Deviation (MAD)0.99
Skewness1.587332438
Sum973.56
Variance91.27686309
MonotonicityNot monotonic
2022-03-24T10:34:12.347184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0126
33.0%
0.998
 
2.1%
-0.997
 
1.8%
0.987
 
1.8%
-0.56
 
1.6%
1.485
 
1.3%
0.484
 
1.0%
3.463
 
0.8%
0.493
 
0.8%
0.53
 
0.8%
Other values (198)210
55.0%
ValueCountFrequency (%)
-32.921
0.3%
-27.981
0.3%
-24.161
0.3%
-22.971
0.3%
-21.631
0.3%
ValueCountFrequency (%)
54.361
0.3%
46.141
0.3%
45.761
0.3%
43.661
0.3%
42.091
0.3%

同业存单.10
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.5621466
Minimum-65.06
Maximum351.78
Zeros11
Zeros (%)2.9%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:12.395500image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-65.06
5-th percentile-11.824
Q120.7525
median51.76
Q391.475
95-th percentile149.8175
Maximum351.78
Range416.84
Interquartile range (IQR)70.7225

Descriptive statistics

Standard deviation54.42506295
Coefficient of variation (CV)0.9137525435
Kurtosis2.517956536
Mean59.5621466
Median Absolute Deviation (MAD)34.81
Skewness1.039503899
Sum22752.74
Variance2962.087477
MonotonicityNot monotonic
2022-03-24T10:34:12.440651image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
104.672
 
0.5%
85.12
 
0.5%
70.932
 
0.5%
75.172
 
0.5%
94.172
 
0.5%
145.491
 
0.3%
106.161
 
0.3%
72.711
 
0.3%
54.511
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-65.061
0.3%
-43.031
0.3%
-36.831
0.3%
-361
0.3%
-30.941
0.3%
ValueCountFrequency (%)
351.781
0.3%
264.81
0.3%
234.71
0.3%
233.891
0.3%
229.721
0.3%

同业存单.19
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.5621466
Minimum-65.06
Maximum351.78
Zeros11
Zeros (%)2.9%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:12.487757image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-65.06
5-th percentile-11.824
Q120.7525
median51.76
Q391.475
95-th percentile149.8175
Maximum351.78
Range416.84
Interquartile range (IQR)70.7225

Descriptive statistics

Standard deviation54.42506295
Coefficient of variation (CV)0.9137525435
Kurtosis2.517956536
Mean59.5621466
Median Absolute Deviation (MAD)34.81
Skewness1.039503899
Sum22752.74
Variance2962.087477
MonotonicityNot monotonic
2022-03-24T10:34:12.532411image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
104.672
 
0.5%
85.12
 
0.5%
70.932
 
0.5%
75.172
 
0.5%
94.172
 
0.5%
145.491
 
0.3%
106.161
 
0.3%
72.711
 
0.3%
54.511
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-65.061
0.3%
-43.031
0.3%
-36.831
0.3%
-361
0.3%
-30.941
0.3%
ValueCountFrequency (%)
351.781
0.3%
264.81
0.3%
234.71
0.3%
233.891
0.3%
229.721
0.3%

同业存单.20
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.22089005
Minimum-184.19
Maximum188.81
Zeros11
Zeros (%)2.9%
Negative238
Negative (%)62.3%
Memory size3.1 KiB
2022-03-24T10:34:12.581339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-184.19
5-th percentile-96.358
Q1-45.45
median-14.035
Q310.7425
95-th percentile59.3165
Maximum188.81
Range373
Interquartile range (IQR)56.1925

Descriptive statistics

Standard deviation47.90350467
Coefficient of variation (CV)-2.953198284
Kurtosis1.424312362
Mean-16.22089005
Median Absolute Deviation (MAD)28.985
Skewness-0.1178539475
Sum-6196.38
Variance2294.745759
MonotonicityNot monotonic
2022-03-24T10:34:12.632217image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
41.152
 
0.5%
-40.742
 
0.5%
-352
 
0.5%
0.52
 
0.5%
-11.692
 
0.5%
-10.31
 
0.3%
22.131
 
0.3%
-53.421
 
0.3%
-82.571
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-184.191
0.3%
-178.491
0.3%
-174.161
0.3%
-173.851
0.3%
-1391
0.3%
ValueCountFrequency (%)
188.811
0.3%
111.851
0.3%
107.751
0.3%
95.671
0.3%
95.221
0.3%

同业存单.29
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.22089005
Minimum-184.19
Maximum188.81
Zeros11
Zeros (%)2.9%
Negative238
Negative (%)62.3%
Memory size3.1 KiB
2022-03-24T10:34:12.686965image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-184.19
5-th percentile-96.358
Q1-45.45
median-14.035
Q310.7425
95-th percentile59.3165
Maximum188.81
Range373
Interquartile range (IQR)56.1925

Descriptive statistics

Standard deviation47.90350467
Coefficient of variation (CV)-2.953198284
Kurtosis1.424312362
Mean-16.22089005
Median Absolute Deviation (MAD)28.985
Skewness-0.1178539475
Sum-6196.38
Variance2294.745759
MonotonicityNot monotonic
2022-03-24T10:34:12.737370image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
41.152
 
0.5%
-40.742
 
0.5%
-352
 
0.5%
0.52
 
0.5%
-11.692
 
0.5%
-10.31
 
0.3%
22.131
 
0.3%
-53.421
 
0.3%
-82.571
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-184.191
0.3%
-178.491
0.3%
-174.161
0.3%
-173.851
0.3%
-1391
0.3%
ValueCountFrequency (%)
188.811
0.3%
111.851
0.3%
107.751
0.3%
95.671
0.3%
95.221
0.3%

同业存单.30
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.27931937
Minimum-358.11
Maximum327.25
Zeros13
Zeros (%)3.4%
Negative218
Negative (%)57.1%
Memory size3.1 KiB
2022-03-24T10:34:12.790581image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-358.11
5-th percentile-148.9785
Q1-52.91
median-9.5
Q322.4275
95-th percentile105.738
Maximum327.25
Range685.36
Interquartile range (IQR)75.3375

Descriptive statistics

Standard deviation78.89483535
Coefficient of variation (CV)-4.84632272
Kurtosis3.144334707
Mean-16.27931937
Median Absolute Deviation (MAD)36.825
Skewness-0.2871386532
Sum-6218.7
Variance6224.395044
MonotonicityNot monotonic
2022-03-24T10:34:12.836949image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.92
 
0.5%
39.81
 
0.3%
-26.371
 
0.3%
-34.221
 
0.3%
-9.491
 
0.3%
-51.111
 
0.3%
-40.591
 
0.3%
-32.131
 
0.3%
-21.891
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-358.111
0.3%
-320.661
0.3%
-315.761
0.3%
-277.641
0.3%
-244.491
0.3%
ValueCountFrequency (%)
327.251
0.3%
259.451
0.3%
215.441
0.3%
180.961
0.3%
180.181
0.3%

同业存单.39
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.27931937
Minimum-358.11
Maximum327.25
Zeros13
Zeros (%)3.4%
Negative218
Negative (%)57.1%
Memory size3.1 KiB
2022-03-24T10:34:12.886519image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-358.11
5-th percentile-148.9785
Q1-52.91
median-9.5
Q322.4275
95-th percentile105.738
Maximum327.25
Range685.36
Interquartile range (IQR)75.3375

Descriptive statistics

Standard deviation78.89483535
Coefficient of variation (CV)-4.84632272
Kurtosis3.144334707
Mean-16.27931937
Median Absolute Deviation (MAD)36.825
Skewness-0.2871386532
Sum-6218.7
Variance6224.395044
MonotonicityNot monotonic
2022-03-24T10:34:12.932782image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.92
 
0.5%
39.81
 
0.3%
-26.371
 
0.3%
-34.221
 
0.3%
-9.491
 
0.3%
-51.111
 
0.3%
-40.591
 
0.3%
-32.131
 
0.3%
-21.891
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-358.111
0.3%
-320.661
0.3%
-315.761
0.3%
-277.641
0.3%
-244.491
0.3%
ValueCountFrequency (%)
327.251
0.3%
259.451
0.3%
215.441
0.3%
180.961
0.3%
180.181
0.3%

同业存单.40
Real number (ℝ)

ZEROS

Distinct318
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.11117801
Minimum-23.47
Maximum29.48
Zeros21
Zeros (%)5.5%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:34:12.982520image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.47
5-th percentile-7.793
Q1-1.3125
median0.98
Q35.265
95-th percentile15.0595
Maximum29.48
Range52.95
Interquartile range (IQR)6.5775

Descriptive statistics

Standard deviation6.522228773
Coefficient of variation (CV)3.089378887
Kurtosis1.991236812
Mean2.11117801
Median Absolute Deviation (MAD)3.33
Skewness0.6019485954
Sum806.47
Variance42.53946816
MonotonicityNot monotonic
2022-03-24T10:34:13.032851image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
 
5.5%
-0.974
 
1.0%
0.983
 
0.8%
23
 
0.8%
0.33
 
0.8%
-13
 
0.8%
-0.983
 
0.8%
-0.993
 
0.8%
5.692
 
0.5%
2.462
 
0.5%
Other values (308)335
87.7%
ValueCountFrequency (%)
-23.471
0.3%
-14.641
0.3%
-13.481
0.3%
-12.21
0.3%
-12.171
0.3%
ValueCountFrequency (%)
29.481
0.3%
26.571
0.3%
25.971
0.3%
18.971
0.3%
18.811
0.3%

同业存单.49
Real number (ℝ)

ZEROS

Distinct318
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.11117801
Minimum-23.47
Maximum29.48
Zeros21
Zeros (%)5.5%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:34:13.318559image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.47
5-th percentile-7.793
Q1-1.3125
median0.98
Q35.265
95-th percentile15.0595
Maximum29.48
Range52.95
Interquartile range (IQR)6.5775

Descriptive statistics

Standard deviation6.522228773
Coefficient of variation (CV)3.089378887
Kurtosis1.991236812
Mean2.11117801
Median Absolute Deviation (MAD)3.33
Skewness0.6019485954
Sum806.47
Variance42.53946816
MonotonicityNot monotonic
2022-03-24T10:34:13.368546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
 
5.5%
-0.974
 
1.0%
0.983
 
0.8%
23
 
0.8%
0.33
 
0.8%
-13
 
0.8%
-0.983
 
0.8%
-0.993
 
0.8%
5.692
 
0.5%
2.462
 
0.5%
Other values (308)335
87.7%
ValueCountFrequency (%)
-23.471
0.3%
-14.641
0.3%
-13.481
0.3%
-12.21
0.3%
-12.171
0.3%
ValueCountFrequency (%)
29.481
0.3%
26.571
0.3%
25.971
0.3%
18.971
0.3%
18.811
0.3%

同业存单.50
Real number (ℝ)

ZEROS

Distinct371
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.998376963
Minimum-267.85
Maximum438.85
Zeros11
Zeros (%)2.9%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:13.417215image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-267.85
5-th percentile-80.2765
Q1-27.275
median0
Q331.5325
95-th percentile107.8165
Maximum438.85
Range706.7
Interquartile range (IQR)58.8075

Descriptive statistics

Standard deviation66.27893867
Coefficient of variation (CV)11.04947873
Kurtosis8.550514167
Mean5.998376963
Median Absolute Deviation (MAD)29.05
Skewness1.149307553
Sum2291.38
Variance4392.897711
MonotonicityNot monotonic
2022-03-24T10:34:13.465357image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
38.052
 
0.5%
-17.291
 
0.3%
1.311
 
0.3%
108.071
 
0.3%
141.121
 
0.3%
31.121
 
0.3%
13.51
 
0.3%
68.81
 
0.3%
50.511
 
0.3%
Other values (361)361
94.5%
ValueCountFrequency (%)
-267.851
0.3%
-247.191
0.3%
-235.651
0.3%
-165.51
0.3%
-135.851
0.3%
ValueCountFrequency (%)
438.851
0.3%
341.951
0.3%
306.331
0.3%
237.271
0.3%
221.621
0.3%

同业存单.59
Real number (ℝ)

ZEROS

Distinct371
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.998376963
Minimum-267.85
Maximum438.85
Zeros11
Zeros (%)2.9%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:13.516859image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-267.85
5-th percentile-80.2765
Q1-27.275
median0
Q331.5325
95-th percentile107.8165
Maximum438.85
Range706.7
Interquartile range (IQR)58.8075

Descriptive statistics

Standard deviation66.27893867
Coefficient of variation (CV)11.04947873
Kurtosis8.550514167
Mean5.998376963
Median Absolute Deviation (MAD)29.05
Skewness1.149307553
Sum2291.38
Variance4392.897711
MonotonicityNot monotonic
2022-03-24T10:34:13.564122image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
38.052
 
0.5%
-17.291
 
0.3%
1.311
 
0.3%
108.071
 
0.3%
141.121
 
0.3%
31.121
 
0.3%
13.51
 
0.3%
68.81
 
0.3%
50.511
 
0.3%
Other values (361)361
94.5%
ValueCountFrequency (%)
-267.851
0.3%
-247.191
0.3%
-235.651
0.3%
-165.51
0.3%
-135.851
0.3%
ValueCountFrequency (%)
438.851
0.3%
341.951
0.3%
306.331
0.3%
237.271
0.3%
221.621
0.3%

同业存单.60
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.89206806
Minimum-212.92
Maximum205.72
Zeros11
Zeros (%)2.9%
Negative141
Negative (%)36.9%
Memory size3.1 KiB
2022-03-24T10:34:13.615982image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-212.92
5-th percentile-56.2765
Q1-11.43
median8.64
Q335.66
95-th percentile84.5085
Maximum205.72
Range418.64
Interquartile range (IQR)47.09

Descriptive statistics

Standard deviation47.58566233
Coefficient of variation (CV)4.3688363
Kurtosis3.818359625
Mean10.89206806
Median Absolute Deviation (MAD)23.57
Skewness-0.2823147838
Sum4160.77
Variance2264.395259
MonotonicityNot monotonic
2022-03-24T10:34:13.661319image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-41.242
 
0.5%
-30.692
 
0.5%
-10.062
 
0.5%
3.542
 
0.5%
-11.432
 
0.5%
-66.321
 
0.3%
5.381
 
0.3%
-2.691
 
0.3%
8.821
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-212.921
0.3%
-198.691
0.3%
-167.461
0.3%
-158.851
0.3%
-148.071
0.3%
ValueCountFrequency (%)
205.721
0.3%
173.691
0.3%
163.81
0.3%
143.541
0.3%
131.71
0.3%

同业存单.69
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.89206806
Minimum-212.92
Maximum205.72
Zeros11
Zeros (%)2.9%
Negative141
Negative (%)36.9%
Memory size3.1 KiB
2022-03-24T10:34:13.709052image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-212.92
5-th percentile-56.2765
Q1-11.43
median8.64
Q335.66
95-th percentile84.5085
Maximum205.72
Range418.64
Interquartile range (IQR)47.09

Descriptive statistics

Standard deviation47.58566233
Coefficient of variation (CV)4.3688363
Kurtosis3.818359625
Mean10.89206806
Median Absolute Deviation (MAD)23.57
Skewness-0.2823147838
Sum4160.77
Variance2264.395259
MonotonicityNot monotonic
2022-03-24T10:34:13.754465image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-41.242
 
0.5%
-30.692
 
0.5%
-10.062
 
0.5%
3.542
 
0.5%
-11.432
 
0.5%
-66.321
 
0.3%
5.381
 
0.3%
-2.691
 
0.3%
8.821
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-212.921
0.3%
-198.691
0.3%
-167.461
0.3%
-158.851
0.3%
-148.071
0.3%
ValueCountFrequency (%)
205.721
0.3%
173.691
0.3%
163.81
0.3%
143.541
0.3%
131.71
0.3%

同业存单.70
Real number (ℝ)

ZEROS

Distinct364
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.61209424
Minimum-286.14
Maximum170.36
Zeros11
Zeros (%)2.9%
Negative297
Negative (%)77.7%
Memory size3.1 KiB
2022-03-24T10:34:13.799758image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-286.14
5-th percentile-105.5485
Q1-44.685
median-18.025
Q3-2.38
95-th percentile28.577
Maximum170.36
Range456.5
Interquartile range (IQR)42.305

Descriptive statistics

Standard deviation44.44716926
Coefficient of variation (CV)-1.670186828
Kurtosis6.20595645
Mean-26.61209424
Median Absolute Deviation (MAD)18.755
Skewness-1.393592726
Sum-10165.82
Variance1975.550855
MonotonicityNot monotonic
2022-03-24T10:34:13.847275image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-22.23
 
0.8%
9.12
 
0.5%
-51.052
 
0.5%
-12.22
 
0.5%
-11.72
 
0.5%
-3.892
 
0.5%
2.142
 
0.5%
-204.091
 
0.3%
-6.241
 
0.3%
Other values (354)354
92.7%
ValueCountFrequency (%)
-286.141
0.3%
-224.811
0.3%
-204.091
0.3%
-185.011
0.3%
-179.061
0.3%
ValueCountFrequency (%)
170.361
0.3%
80.911
0.3%
69.971
0.3%
62.391
0.3%
58.21
0.3%

同业存单.79
Real number (ℝ)

ZEROS

Distinct364
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.61209424
Minimum-286.14
Maximum170.36
Zeros11
Zeros (%)2.9%
Negative297
Negative (%)77.7%
Memory size3.1 KiB
2022-03-24T10:34:13.895866image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-286.14
5-th percentile-105.5485
Q1-44.685
median-18.025
Q3-2.38
95-th percentile28.577
Maximum170.36
Range456.5
Interquartile range (IQR)42.305

Descriptive statistics

Standard deviation44.44716926
Coefficient of variation (CV)-1.670186828
Kurtosis6.20595645
Mean-26.61209424
Median Absolute Deviation (MAD)18.755
Skewness-1.393592726
Sum-10165.82
Variance1975.550855
MonotonicityNot monotonic
2022-03-24T10:34:13.942562image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-22.23
 
0.8%
9.12
 
0.5%
-51.052
 
0.5%
-12.22
 
0.5%
-11.72
 
0.5%
-3.892
 
0.5%
2.142
 
0.5%
-204.091
 
0.3%
-6.241
 
0.3%
Other values (354)354
92.7%
ValueCountFrequency (%)
-286.141
0.3%
-224.811
0.3%
-204.091
0.3%
-185.011
0.3%
-179.061
0.3%
ValueCountFrequency (%)
170.361
0.3%
80.911
0.3%
69.971
0.3%
62.391
0.3%
58.21
0.3%

同业存单.80
Real number (ℝ)

ZEROS

Distinct363
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-35.34751309
Minimum-175.36
Maximum187.28
Zeros13
Zeros (%)3.4%
Negative317
Negative (%)83.0%
Memory size3.1 KiB
2022-03-24T10:34:13.990175image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-175.36
5-th percentile-101.01
Q1-59.4725
median-33.655
Q3-8.7275
95-th percentile22.017
Maximum187.28
Range362.64
Interquartile range (IQR)50.745

Descriptive statistics

Standard deviation38.87596608
Coefficient of variation (CV)-1.099821817
Kurtosis2.66842378
Mean-35.34751309
Median Absolute Deviation (MAD)25.265
Skewness0.2351865595
Sum-13502.75
Variance1511.340738
MonotonicityNot monotonic
2022-03-24T10:34:14.036665image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-21.572
 
0.5%
-52.882
 
0.5%
-90.412
 
0.5%
-8.362
 
0.5%
-53.822
 
0.5%
-20.872
 
0.5%
-53.582
 
0.5%
-10.271
 
0.3%
-7.011
 
0.3%
Other values (353)353
92.4%
ValueCountFrequency (%)
-175.361
0.3%
-142.971
0.3%
-132.771
0.3%
-127.881
0.3%
-126.941
0.3%
ValueCountFrequency (%)
187.281
0.3%
57.461
0.3%
57.411
0.3%
55.41
0.3%
53.131
0.3%

同业存单.89
Real number (ℝ)

ZEROS

Distinct363
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-35.34751309
Minimum-175.36
Maximum187.28
Zeros13
Zeros (%)3.4%
Negative317
Negative (%)83.0%
Memory size3.1 KiB
2022-03-24T10:34:14.085580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-175.36
5-th percentile-101.01
Q1-59.4725
median-33.655
Q3-8.7275
95-th percentile22.017
Maximum187.28
Range362.64
Interquartile range (IQR)50.745

Descriptive statistics

Standard deviation38.87596608
Coefficient of variation (CV)-1.099821817
Kurtosis2.66842378
Mean-35.34751309
Median Absolute Deviation (MAD)25.265
Skewness0.2351865595
Sum-13502.75
Variance1511.340738
MonotonicityNot monotonic
2022-03-24T10:34:14.132449image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-21.572
 
0.5%
-52.882
 
0.5%
-90.412
 
0.5%
-8.362
 
0.5%
-53.822
 
0.5%
-20.872
 
0.5%
-53.582
 
0.5%
-10.271
 
0.3%
-7.011
 
0.3%
Other values (353)353
92.4%
ValueCountFrequency (%)
-175.361
0.3%
-142.971
0.3%
-132.771
0.3%
-127.881
0.3%
-126.941
0.3%
ValueCountFrequency (%)
187.281
0.3%
57.461
0.3%
57.411
0.3%
55.41
0.3%
53.131
0.3%

国债-合计
Real number (ℝ)

ZEROS

Distinct62
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001413612565
Minimum-8.78
Maximum5.07
Zeros290
Zeros (%)75.9%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:14.182162image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.78
5-th percentile-0.605
Q10
median0
Q30
95-th percentile1.1195
Maximum5.07
Range13.85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.056070363
Coefficient of variation (CV)-747.0719972
Kurtosis22.90260682
Mean-0.001413612565
Median Absolute Deviation (MAD)0
Skewness-1.899222841
Sum-0.54
Variance1.115284611
MonotonicityNot monotonic
2022-03-24T10:34:14.227163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0290
75.9%
-0.56
 
1.6%
0.15
 
1.3%
-0.14
 
1.0%
-0.514
 
1.0%
0.54
 
1.0%
0.24
 
1.0%
1.013
 
0.8%
-0.43
 
0.8%
-0.612
 
0.5%
Other values (52)57
 
14.9%
ValueCountFrequency (%)
-8.781
0.3%
-6.621
0.3%
-4.291
0.3%
-4.241
0.3%
-4.191
0.3%
ValueCountFrequency (%)
5.071
0.3%
5.031
0.3%
4.991
0.3%
3.041
0.3%
31
0.3%

国债-合计.1
Real number (ℝ)

ZEROS

Distinct123
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04557591623
Minimum-59.58
Maximum19.02
Zeros188
Zeros (%)49.2%
Negative79
Negative (%)20.7%
Memory size3.1 KiB
2022-03-24T10:34:14.276185image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-59.58
5-th percentile-1.7055
Q10
median0
Q30.3
95-th percentile4.156
Maximum19.02
Range78.6
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation4.572729511
Coefficient of variation (CV)100.3321466
Kurtosis86.48047577
Mean0.04557591623
Median Absolute Deviation (MAD)0.1
Skewness-7.14040981
Sum17.41
Variance20.90985518
MonotonicityNot monotonic
2022-03-24T10:34:14.324262image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0188
49.2%
0.39
 
2.4%
0.57
 
1.8%
0.17
 
1.8%
0.26
 
1.6%
-0.55
 
1.3%
-0.514
 
1.0%
-0.814
 
1.0%
-0.24
 
1.0%
14
 
1.0%
Other values (113)144
37.7%
ValueCountFrequency (%)
-59.581
0.3%
-32.691
0.3%
-23.191
0.3%
-22.91
0.3%
-14.661
0.3%
ValueCountFrequency (%)
19.021
0.3%
16.381
0.3%
10.921
0.3%
9.171
0.3%
8.591
0.3%

国债-合计.2
Real number (ℝ)

ZEROS

Distinct135
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08348167539
Minimum-4.95
Maximum6.96
Zeros199
Zeros (%)52.1%
Negative85
Negative (%)22.3%
Memory size3.1 KiB
2022-03-24T10:34:14.376037image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.95
5-th percentile-1.834
Q10
median0
Q30.1
95-th percentile2.0585
Maximum6.96
Range11.91
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation1.19631704
Coefficient of variation (CV)14.33029505
Kurtosis7.981699652
Mean0.08348167539
Median Absolute Deviation (MAD)0
Skewness1.119894549
Sum31.89
Variance1.43117446
MonotonicityNot monotonic
2022-03-24T10:34:14.425619image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0199
52.1%
0.18
 
2.1%
0.25
 
1.3%
-0.24
 
1.0%
-0.194
 
1.0%
-1.013
 
0.8%
-0.53
 
0.8%
-0.513
 
0.8%
0.293
 
0.8%
0.513
 
0.8%
Other values (125)147
38.5%
ValueCountFrequency (%)
-4.951
0.3%
-3.641
0.3%
-3.631
0.3%
-3.541
0.3%
-3.291
0.3%
ValueCountFrequency (%)
6.961
0.3%
6.181
0.3%
5.671
0.3%
5.051
0.3%
4.241
0.3%

国债-合计.3
Real number (ℝ)

ZEROS

Distinct84
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01617801047
Minimum-4.92
Maximum5.26
Zeros247
Zeros (%)64.7%
Negative69
Negative (%)18.1%
Memory size3.1 KiB
2022-03-24T10:34:14.475605image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.92
5-th percentile-1.473
Q10
median0
Q30
95-th percentile1.21
Maximum5.26
Range10.18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8856594736
Coefficient of variation (CV)54.74464707
Kurtosis11.65097298
Mean0.01617801047
Median Absolute Deviation (MAD)0
Skewness0.7549171441
Sum6.18
Variance0.7843927031
MonotonicityNot monotonic
2022-03-24T10:34:14.522380image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0247
64.7%
0.29
 
2.4%
-0.27
 
1.8%
0.36
 
1.6%
-0.516
 
1.6%
-0.34
 
1.0%
-1.013
 
0.8%
-0.53
 
0.8%
0.513
 
0.8%
-0.13
 
0.8%
Other values (74)91
 
23.8%
ValueCountFrequency (%)
-4.921
0.3%
-41
0.3%
-3.031
0.3%
-2.471
0.3%
-2.091
0.3%
ValueCountFrequency (%)
5.261
0.3%
5.241
0.3%
3.61
0.3%
31
0.3%
2.942
0.5%

国债-合计.4
Real number (ℝ)

ZEROS

Distinct220
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05316753927
Minimum-41.18
Maximum32.22
Zeros85
Zeros (%)22.3%
Negative159
Negative (%)41.6%
Memory size3.1 KiB
2022-03-24T10:34:14.570569image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-41.18
5-th percentile-3.05
Q1-0.5725
median0
Q30.41
95-th percentile4.4515
Maximum32.22
Range73.4
Interquartile range (IQR)0.9825

Descriptive statistics

Standard deviation4.362277653
Coefficient of variation (CV)-82.04776284
Kurtosis35.06498703
Mean-0.05316753927
Median Absolute Deviation (MAD)0.495
Skewness-1.59669774
Sum-20.31
Variance19.02946632
MonotonicityNot monotonic
2022-03-24T10:34:14.618831image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
085
 
22.3%
-0.110
 
2.6%
0.19
 
2.4%
0.216
 
1.6%
-0.26
 
1.6%
-0.215
 
1.3%
-0.195
 
1.3%
-0.515
 
1.3%
0.114
 
1.0%
0.644
 
1.0%
Other values (210)243
63.6%
ValueCountFrequency (%)
-41.181
0.3%
-27.461
0.3%
-18.211
0.3%
-17.41
0.3%
-13.061
0.3%
ValueCountFrequency (%)
32.221
0.3%
21.621
0.3%
14.261
0.3%
13.261
0.3%
11.241
0.3%

国债-合计.5
Real number (ℝ)

ZEROS

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01835078534
Minimum-2.47
Maximum0
Zeros371
Zeros (%)97.1%
Negative11
Negative (%)2.9%
Memory size3.1 KiB
2022-03-24T10:34:14.660086image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range2.47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1585387754
Coefficient of variation (CV)-8.639345533
Kurtosis164.8419181
Mean-0.01835078534
Median Absolute Deviation (MAD)0
Skewness-12.00304927
Sum-7.01
Variance0.02513454329
MonotonicityNot monotonic
2022-03-24T10:34:14.696644image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0371
97.1%
-0.12
 
0.5%
-0.212
 
0.5%
-0.711
 
0.3%
-0.311
 
0.3%
-0.511
 
0.3%
-2.471
 
0.3%
-0.111
 
0.3%
-1.251
 
0.3%
-1.031
 
0.3%
ValueCountFrequency (%)
-2.471
0.3%
-1.251
0.3%
-1.031
0.3%
-0.711
0.3%
-0.511
0.3%
ValueCountFrequency (%)
0371
97.1%
-0.12
 
0.5%
-0.111
 
0.3%
-0.212
 
0.5%
-0.311
 
0.3%

国债-合计.6
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04636125654
Minimum-3.43
Maximum0
Zeros365
Zeros (%)95.5%
Negative17
Negative (%)4.5%
Memory size3.1 KiB
2022-03-24T10:34:14.733346image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range3.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3126377582
Coefficient of variation (CV)-6.743513474
Kurtosis77.49984096
Mean-0.04636125654
Median Absolute Deviation (MAD)0
Skewness-8.508325337
Sum-17.71
Variance0.09774236784
MonotonicityNot monotonic
2022-03-24T10:34:14.769191image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0365
95.5%
-0.112
 
0.5%
-0.342
 
0.5%
-3.431
 
0.3%
-2.221
 
0.3%
-1.661
 
0.3%
-0.651
 
0.3%
-0.581
 
0.3%
-0.461
 
0.3%
-3.191
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-3.431
0.3%
-3.191
0.3%
-2.371
0.3%
-2.221
0.3%
-1.661
0.3%
ValueCountFrequency (%)
0365
95.5%
-0.11
 
0.3%
-0.112
 
0.5%
-0.311
 
0.3%
-0.331
 
0.3%

国债-合计.7
Real number (ℝ)

ZEROS

Distinct267
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.056465969
Minimum-19.99
Maximum56.07
Zeros46
Zeros (%)12.0%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:34:14.815997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-19.99
5-th percentile-3.2365
Q1-0.535
median0.1
Q31.6175
95-th percentile7.5895
Maximum56.07
Range76.06
Interquartile range (IQR)2.1525

Descriptive statistics

Standard deviation5.23644465
Coefficient of variation (CV)4.956567278
Kurtosis42.10165807
Mean1.056465969
Median Absolute Deviation (MAD)0.97
Skewness4.801819105
Sum403.57
Variance27.42035257
MonotonicityNot monotonic
2022-03-24T10:34:14.864547image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046
 
12.0%
0.25
 
1.3%
0.695
 
1.3%
0.195
 
1.3%
0.474
 
1.0%
0.14
 
1.0%
-0.14
 
1.0%
-0.943
 
0.8%
-0.213
 
0.8%
-0.113
 
0.8%
Other values (257)300
78.5%
ValueCountFrequency (%)
-19.991
0.3%
-13.541
0.3%
-11.831
0.3%
-9.041
0.3%
-8.731
0.3%
ValueCountFrequency (%)
56.071
0.3%
37.511
0.3%
30.191
0.3%
25.651
0.3%
21.371
0.3%

国债-合计.8
Real number (ℝ)

ZEROS

Distinct191
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.20382199
Minimum-4.81
Maximum72.04
Zeros80
Zeros (%)20.9%
Negative50
Negative (%)13.1%
Memory size3.1 KiB
2022-03-24T10:34:14.915985image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.81
5-th percentile-0.8495
Q10
median0.34
Q30.9525
95-th percentile3.828
Maximum72.04
Range76.85
Interquartile range (IQR)0.9525

Descriptive statistics

Standard deviation5.718855542
Coefficient of variation (CV)4.750582388
Kurtosis113.1907924
Mean1.20382199
Median Absolute Deviation (MAD)0.34
Skewness10.06879014
Sum459.86
Variance32.70530871
MonotonicityNot monotonic
2022-03-24T10:34:14.962699image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
080
 
20.9%
0.210
 
2.6%
0.18
 
2.1%
0.37
 
1.8%
0.227
 
1.8%
0.197
 
1.8%
0.516
 
1.6%
0.216
 
1.6%
0.495
 
1.3%
0.314
 
1.0%
Other values (181)242
63.4%
ValueCountFrequency (%)
-4.811
0.3%
-3.61
0.3%
-2.91
0.3%
-2.731
0.3%
-2.541
0.3%
ValueCountFrequency (%)
72.041
0.3%
67.51
0.3%
35.081
0.3%
30.991
0.3%
9.241
0.3%

国债-合计.9
Real number (ℝ)

ZEROS

Distinct337
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.285680628
Minimum-63.6
Maximum80.2
Zeros14
Zeros (%)3.7%
Negative123
Negative (%)32.2%
Memory size3.1 KiB
2022-03-24T10:34:15.011372image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.6
5-th percentile-7.3365
Q1-0.5975
median0.93
Q34.0725
95-th percentile15.9865
Maximum80.2
Range143.8
Interquartile range (IQR)4.67

Descriptive statistics

Standard deviation11.03189906
Coefficient of variation (CV)4.826526908
Kurtosis18.66878299
Mean2.285680628
Median Absolute Deviation (MAD)2.265
Skewness1.464974068
Sum873.13
Variance121.7027968
MonotonicityNot monotonic
2022-03-24T10:34:15.057940image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
2.454
 
1.0%
1.143
 
0.8%
0.283
 
0.8%
0.383
 
0.8%
-1.782
 
0.5%
1.292
 
0.5%
-0.322
 
0.5%
0.142
 
0.5%
2.612
 
0.5%
Other values (327)345
90.3%
ValueCountFrequency (%)
-63.61
0.3%
-38.531
0.3%
-381
0.3%
-37.171
0.3%
-34.741
0.3%
ValueCountFrequency (%)
80.21
0.3%
78.911
0.3%
56.891
0.3%
39.061
0.3%
34.821
0.3%

国债-合计.10
Real number (ℝ)

ZEROS

Distinct350
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4
Minimum-50.74
Maximum60.66
Zeros12
Zeros (%)3.1%
Negative87
Negative (%)22.8%
Memory size3.1 KiB
2022-03-24T10:34:15.108901image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-50.74
5-th percentile-7.0275
Q10
median4.16
Q39.4275
95-th percentile22.4755
Maximum60.66
Range111.4
Interquartile range (IQR)9.4275

Descriptive statistics

Standard deviation10.47638569
Coefficient of variation (CV)1.940071425
Kurtosis6.791510992
Mean5.4
Median Absolute Deviation (MAD)4.415
Skewness0.8777434605
Sum2062.8
Variance109.7546572
MonotonicityNot monotonic
2022-03-24T10:34:15.156823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
5.463
 
0.8%
0.93
 
0.8%
0.742
 
0.5%
-0.32
 
0.5%
1.222
 
0.5%
2.242
 
0.5%
2.82
 
0.5%
7.372
 
0.5%
6.132
 
0.5%
Other values (340)350
91.6%
ValueCountFrequency (%)
-50.741
0.3%
-25.791
0.3%
-22.491
0.3%
-20.221
0.3%
-19.441
0.3%
ValueCountFrequency (%)
60.661
0.3%
56.981
0.3%
51.751
0.3%
42.661
0.3%
41.631
0.3%

国债-合计.11
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.149267016
Minimum-38.46
Maximum57.51
Zeros13
Zeros (%)3.4%
Negative124
Negative (%)32.5%
Memory size3.1 KiB
2022-03-24T10:34:15.203671image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.46
5-th percentile-10.7345
Q1-1.53
median1.985
Q36.3175
95-th percentile15.3565
Maximum57.51
Range95.97
Interquartile range (IQR)7.8475

Descriptive statistics

Standard deviation9.004969843
Coefficient of variation (CV)4.189786461
Kurtosis6.483358108
Mean2.149267016
Median Absolute Deviation (MAD)4.08
Skewness0.01698016786
Sum821.02
Variance81.08948188
MonotonicityNot monotonic
2022-03-24T10:34:15.254709image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
6.072
 
0.5%
-1.922
 
0.5%
8.392
 
0.5%
3.42
 
0.5%
-2.372
 
0.5%
0.962
 
0.5%
3.22
 
0.5%
11.372
 
0.5%
23.112
 
0.5%
Other values (342)351
91.9%
ValueCountFrequency (%)
-38.461
0.3%
-34.11
0.3%
-32.841
0.3%
-31.011
0.3%
-29.041
0.3%
ValueCountFrequency (%)
57.511
0.3%
36.011
0.3%
27.611
0.3%
25.121
0.3%
23.421
0.3%

国债-合计.12
Real number (ℝ)

ZEROS

Distinct344
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1028010471
Minimum-68.19
Maximum34.98
Zeros13
Zeros (%)3.4%
Negative172
Negative (%)45.0%
Memory size3.1 KiB
2022-03-24T10:34:15.303121image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-68.19
5-th percentile-10.2145
Q1-2.515
median0.105
Q33.145
95-th percentile9.1235
Maximum34.98
Range103.17
Interquartile range (IQR)5.66

Descriptive statistics

Standard deviation7.710949454
Coefficient of variation (CV)-75.00847189
Kurtosis21.57673716
Mean-0.1028010471
Median Absolute Deviation (MAD)2.79
Skewness-2.674951128
Sum-39.27
Variance59.45874148
MonotonicityNot monotonic
2022-03-24T10:34:15.353793image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
4.873
 
0.8%
2.443
 
0.8%
-0.842
 
0.5%
-3.272
 
0.5%
0.32
 
0.5%
-7.712
 
0.5%
2.512
 
0.5%
-0.52
 
0.5%
2.622
 
0.5%
Other values (334)349
91.4%
ValueCountFrequency (%)
-68.191
0.3%
-42.91
0.3%
-40.331
0.3%
-33.781
0.3%
-29.951
0.3%
ValueCountFrequency (%)
34.981
0.3%
22.831
0.3%
18.221
0.3%
15.71
0.3%
15.311
0.3%

国债-合计.13
Real number (ℝ)

ZEROS

Distinct334
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.587565445
Minimum-49.1
Maximum31.32
Zeros14
Zeros (%)3.7%
Negative187
Negative (%)49.0%
Memory size3.1 KiB
2022-03-24T10:34:15.403806image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.1
5-th percentile-9.4985
Q1-2.765
median0
Q31.8925
95-th percentile7.539
Maximum31.32
Range80.42
Interquartile range (IQR)4.6575

Descriptive statistics

Standard deviation6.08511424
Coefficient of variation (CV)-10.35648759
Kurtosis15.75797037
Mean-0.587565445
Median Absolute Deviation (MAD)2.41
Skewness-1.742202351
Sum-224.45
Variance37.02861532
MonotonicityNot monotonic
2022-03-24T10:34:15.451800image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
0.14
 
1.0%
1.194
 
1.0%
-1.933
 
0.8%
-2.643
 
0.8%
1.383
 
0.8%
0.912
 
0.5%
-0.512
 
0.5%
-0.542
 
0.5%
-0.62
 
0.5%
Other values (324)343
89.8%
ValueCountFrequency (%)
-49.11
0.3%
-37.71
0.3%
-20.371
0.3%
-19.791
0.3%
-17.211
0.3%
ValueCountFrequency (%)
31.321
0.3%
17.691
0.3%
13.951
0.3%
13.821
0.3%
12.251
0.3%

国债-合计.14
Real number (ℝ)

ZEROS

Distinct350
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.440732984
Minimum-80.33
Maximum62.06
Zeros12
Zeros (%)3.1%
Negative146
Negative (%)38.2%
Memory size3.1 KiB
2022-03-24T10:34:15.503657image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-80.33
5-th percentile-17.544
Q1-3.505
median1.48
Q36.8825
95-th percentile21.7475
Maximum62.06
Range142.39
Interquartile range (IQR)10.3875

Descriptive statistics

Standard deviation13.42884616
Coefficient of variation (CV)9.320843144
Kurtosis8.279194661
Mean1.440732984
Median Absolute Deviation (MAD)5.165
Skewness-0.7537282146
Sum550.36
Variance180.3339092
MonotonicityNot monotonic
2022-03-24T10:34:15.551060image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
3.413
 
0.8%
-1.142
 
0.5%
4.472
 
0.5%
5.022
 
0.5%
-1.372
 
0.5%
7.252
 
0.5%
9.712
 
0.5%
6.272
 
0.5%
10.732
 
0.5%
Other values (340)351
91.9%
ValueCountFrequency (%)
-80.331
0.3%
-66.931
0.3%
-56.551
0.3%
-43.551
0.3%
-37.861
0.3%
ValueCountFrequency (%)
62.061
0.3%
57.171
0.3%
45.751
0.3%
43.511
0.3%
38.231
0.3%

国债-合计.15
Real number (ℝ)

ZEROS

Distinct42
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01115183246
Minimum-6.89
Maximum3.33
Zeros331
Zeros (%)86.6%
Negative28
Negative (%)7.3%
Memory size3.1 KiB
2022-03-24T10:34:15.599873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.89
5-th percentile-0.406
Q10
median0
Q30
95-th percentile0.2295
Maximum3.33
Range10.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5903393152
Coefficient of variation (CV)-52.93653014
Kurtosis59.0997994
Mean-0.01115183246
Median Absolute Deviation (MAD)0
Skewness-3.840489348
Sum-4.26
Variance0.3485005071
MonotonicityNot monotonic
2022-03-24T10:34:15.643677image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0331
86.6%
-0.12
 
0.5%
-1.092
 
0.5%
-0.112
 
0.5%
-0.332
 
0.5%
1.992
 
0.5%
0.582
 
0.5%
-0.552
 
0.5%
-0.512
 
0.5%
0.612
 
0.5%
Other values (32)33
 
8.6%
ValueCountFrequency (%)
-6.891
0.3%
-3.331
0.3%
-3.251
0.3%
-2.131
0.3%
-1.431
0.3%
ValueCountFrequency (%)
3.331
0.3%
3.251
0.3%
2.481
0.3%
1.992
0.5%
1.781
0.3%

国债-合计.16
Real number (ℝ)

ZEROS

Distinct27
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02460732984
Minimum-1.26
Maximum3.13
Zeros353
Zeros (%)92.4%
Negative8
Negative (%)2.1%
Memory size3.1 KiB
2022-03-24T10:34:15.685188image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.26
5-th percentile0
Q10
median0
Q30
95-th percentile0.1085
Maximum3.13
Range4.39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2694443154
Coefficient of variation (CV)10.94975835
Kurtosis73.33838478
Mean0.02460732984
Median Absolute Deviation (MAD)0
Skewness6.317532608
Sum9.4
Variance0.07260023911
MonotonicityNot monotonic
2022-03-24T10:34:15.723704image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0353
92.4%
0.323
 
0.8%
0.572
 
0.5%
0.661
 
0.3%
0.331
 
0.3%
0.221
 
0.3%
0.551
 
0.3%
-1.141
 
0.3%
-0.421
 
0.3%
-0.551
 
0.3%
Other values (17)17
 
4.5%
ValueCountFrequency (%)
-1.261
0.3%
-1.141
0.3%
-1.11
0.3%
-0.551
0.3%
-0.541
0.3%
ValueCountFrequency (%)
3.131
0.3%
2.651
0.3%
1.091
0.3%
1.051
0.3%
1.041
0.3%

国债-合计.17
Real number (ℝ)

ZEROS

Distinct332
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161623037
Minimum-20.96
Maximum21.83
Zeros11
Zeros (%)2.9%
Negative142
Negative (%)37.2%
Memory size3.1 KiB
2022-03-24T10:34:15.768513image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-20.96
5-th percentile-6.629
Q1-1.3775
median0.925
Q33.4075
95-th percentile10.414
Maximum21.83
Range42.79
Interquartile range (IQR)4.785

Descriptive statistics

Standard deviation5.347119369
Coefficient of variation (CV)4.603145083
Kurtosis2.948483327
Mean1.161623037
Median Absolute Deviation (MAD)2.395
Skewness0.1493106237
Sum443.74
Variance28.59168555
MonotonicityNot monotonic
2022-03-24T10:34:15.813235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
1.234
 
1.0%
0.943
 
0.8%
0.863
 
0.8%
0.32
 
0.5%
-1.062
 
0.5%
-3.842
 
0.5%
2.642
 
0.5%
4.732
 
0.5%
2.782
 
0.5%
Other values (322)349
91.4%
ValueCountFrequency (%)
-20.961
0.3%
-19.031
0.3%
-17.331
0.3%
-15.471
0.3%
-13.61
0.3%
ValueCountFrequency (%)
21.831
0.3%
17.661
0.3%
17.331
0.3%
17.171
0.3%
16.881
0.3%

国债-合计.18
Real number (ℝ)

ZEROS

Distinct103
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3053926702
Minimum-21.96
Maximum12.34
Zeros197
Zeros (%)51.6%
Negative104
Negative (%)27.2%
Memory size3.1 KiB
2022-03-24T10:34:15.859266image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.96
5-th percentile-1.3135
Q1-0.1
median0
Q30
95-th percentile0.947
Maximum12.34
Range34.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation2.508239698
Coefficient of variation (CV)-8.213162734
Kurtosis42.68001958
Mean-0.3053926702
Median Absolute Deviation (MAD)0
Skewness-5.337721435
Sum-116.66
Variance6.291266381
MonotonicityNot monotonic
2022-03-24T10:34:15.905808image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0197
51.6%
0.210
 
2.6%
-0.210
 
2.6%
-0.19
 
2.4%
-0.197
 
1.8%
0.17
 
1.8%
0.37
 
1.8%
-0.35
 
1.3%
-0.64
 
1.0%
-0.384
 
1.0%
Other values (93)122
31.9%
ValueCountFrequency (%)
-21.961
0.3%
-21.891
0.3%
-17.551
0.3%
-16.961
0.3%
-13.241
0.3%
ValueCountFrequency (%)
12.341
0.3%
6.761
0.3%
4.921
0.3%
3.971
0.3%
2.32
0.5%

国债-合计.19
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.170104712
Minimum-93.95
Maximum98.49
Zeros11
Zeros (%)2.9%
Negative116
Negative (%)30.4%
Memory size3.1 KiB
2022-03-24T10:34:15.955072image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-93.95
5-th percentile-43.404
Q1-4.1025
median8.195
Q326.335
95-th percentile57.0755
Maximum98.49
Range192.44
Interquartile range (IQR)30.4375

Descriptive statistics

Standard deviation30.06596532
Coefficient of variation (CV)3.278693785
Kurtosis1.509237134
Mean9.170104712
Median Absolute Deviation (MAD)15.525
Skewness-0.4284064329
Sum3502.98
Variance903.9622709
MonotonicityNot monotonic
2022-03-24T10:34:16.278501image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
5.962
 
0.5%
2.572
 
0.5%
12.942
 
0.5%
49.321
 
0.3%
51.461
 
0.3%
69.531
 
0.3%
7.781
 
0.3%
-13.681
 
0.3%
23.221
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-93.951
0.3%
-91.821
0.3%
-89.321
0.3%
-84.381
0.3%
-84.321
0.3%
ValueCountFrequency (%)
98.491
0.3%
91.281
0.3%
89.961
0.3%
82.951
0.3%
81.821
0.3%

国债-合计.20
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.464293194
Minimum-113.48
Maximum42.55
Zeros15
Zeros (%)3.9%
Negative245
Negative (%)64.1%
Memory size3.1 KiB
2022-03-24T10:34:16.330131image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-113.48
5-th percentile-34.879
Q1-12.1275
median-3.665
Q32.16
95-th percentile13.665
Maximum42.55
Range156.03
Interquartile range (IQR)14.2875

Descriptive statistics

Standard deviation16.87158606
Coefficient of variation (CV)-2.609966094
Kurtosis8.487753677
Mean-6.464293194
Median Absolute Deviation (MAD)6.995
Skewness-1.97652055
Sum-2469.36
Variance284.6504162
MonotonicityNot monotonic
2022-03-24T10:34:16.376956image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
7.213
 
0.8%
2.372
 
0.5%
13.182
 
0.5%
-8.772
 
0.5%
10.692
 
0.5%
-5.042
 
0.5%
6.342
 
0.5%
-1.272
 
0.5%
-1.52
 
0.5%
Other values (346)348
91.1%
ValueCountFrequency (%)
-113.481
0.3%
-104.091
0.3%
-79.111
0.3%
-65.871
0.3%
-65.031
0.3%
ValueCountFrequency (%)
42.551
0.3%
28.41
0.3%
27.941
0.3%
26.311
0.3%
25.371
0.3%

国债-合计.21
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.116282723
Minimum-260.55
Maximum46.36
Zeros13
Zeros (%)3.4%
Negative237
Negative (%)62.0%
Memory size3.1 KiB
2022-03-24T10:34:16.427014image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-260.55
5-th percentile-59.7565
Q1-9.1425
median-1.865
Q32.285
95-th percentile18.4735
Maximum46.36
Range306.91
Interquartile range (IQR)11.4275

Descriptive statistics

Standard deviation28.23524515
Coefficient of variation (CV)-3.478839527
Kurtosis23.39394768
Mean-8.116282723
Median Absolute Deviation (MAD)5.755
Skewness-3.882366706
Sum-3100.42
Variance797.2290686
MonotonicityNot monotonic
2022-03-24T10:34:16.472735image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
3.682
 
0.5%
-1.542
 
0.5%
-2.782
 
0.5%
-2.832
 
0.5%
-5.142
 
0.5%
-0.812
 
0.5%
1.32
 
0.5%
-3.252
 
0.5%
-14.62
 
0.5%
Other values (351)351
91.9%
ValueCountFrequency (%)
-260.551
0.3%
-182.391
0.3%
-142.641
0.3%
-128.731
0.3%
-117.551
0.3%
ValueCountFrequency (%)
46.361
0.3%
41.451
0.3%
38.551
0.3%
37.321
0.3%
35.041
0.3%

国债-合计.22
Real number (ℝ)

ZEROS

Distinct341
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.026675393
Minimum-199.98
Maximum26.9
Zeros16
Zeros (%)4.2%
Negative198
Negative (%)51.8%
Memory size3.1 KiB
2022-03-24T10:34:16.522660image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-199.98
5-th percentile-24.6205
Q1-3.835
median-0.33
Q32.3125
95-th percentile8.549
Maximum26.9
Range226.88
Interquartile range (IQR)6.1475

Descriptive statistics

Standard deviation20.05413595
Coefficient of variation (CV)-4.980320983
Kurtosis39.96148028
Mean-4.026675393
Median Absolute Deviation (MAD)3.1
Skewness-5.619710848
Sum-1538.19
Variance402.1683687
MonotonicityNot monotonic
2022-03-24T10:34:16.572086image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016
 
4.2%
-1.033
 
0.8%
-2.12
 
0.5%
-3.272
 
0.5%
4.432
 
0.5%
-1.82
 
0.5%
0.72
 
0.5%
2.192
 
0.5%
-2.082
 
0.5%
1.422
 
0.5%
Other values (331)347
90.8%
ValueCountFrequency (%)
-199.981
0.3%
-156.551
0.3%
-126.411
0.3%
-99.081
0.3%
-94.671
0.3%
ValueCountFrequency (%)
26.91
0.3%
20.391
0.3%
18.171
0.3%
16.351
0.3%
16.071
0.3%

国债-合计.23
Real number (ℝ)

ZEROS

Distinct336
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.345602094
Minimum-117.95
Maximum11.49
Zeros18
Zeros (%)4.7%
Negative197
Negative (%)51.6%
Memory size3.1 KiB
2022-03-24T10:34:16.619990image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-117.95
5-th percentile-19.2155
Q1-2.9825
median-0.205
Q31.515
95-th percentile5.4475
Maximum11.49
Range129.44
Interquartile range (IQR)4.4975

Descriptive statistics

Standard deviation14.57225311
Coefficient of variation (CV)-4.355644425
Kurtosis30.00164526
Mean-3.345602094
Median Absolute Deviation (MAD)2.15
Skewness-5.097922109
Sum-1278.02
Variance212.3505607
MonotonicityNot monotonic
2022-03-24T10:34:16.670443image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.713
 
0.8%
1.422
 
0.5%
1.912
 
0.5%
1.32
 
0.5%
-1.222
 
0.5%
1.032
 
0.5%
1.062
 
0.5%
-8.162
 
0.5%
-6.942
 
0.5%
Other values (326)345
90.3%
ValueCountFrequency (%)
-117.951
0.3%
-109.71
0.3%
-98.041
0.3%
-97.121
0.3%
-78.891
0.3%
ValueCountFrequency (%)
11.491
0.3%
10.781
0.3%
10.771
0.3%
10.161
0.3%
101
0.3%

国债-合计.24
Real number (ℝ)

ZEROS

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.201806283
Minimum-124.6
Maximum25.13
Zeros11
Zeros (%)2.9%
Negative193
Negative (%)50.5%
Memory size3.1 KiB
2022-03-24T10:34:16.719810image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-124.6
5-th percentile-17.4055
Q1-4.45
median-0.105
Q33.3525
95-th percentile12.5585
Maximum25.13
Range149.73
Interquartile range (IQR)7.8025

Descriptive statistics

Standard deviation14.25723971
Coefficient of variation (CV)-6.475247083
Kurtosis25.9211542
Mean-2.201806283
Median Absolute Deviation (MAD)4.1
Skewness-4.232667178
Sum-841.09
Variance203.2688841
MonotonicityNot monotonic
2022-03-24T10:34:16.767060image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-3.672
 
0.5%
-14.022
 
0.5%
1.662
 
0.5%
-9.192
 
0.5%
-2.592
 
0.5%
-4.462
 
0.5%
-4.42
 
0.5%
-2.872
 
0.5%
-2.912
 
0.5%
Other values (349)353
92.4%
ValueCountFrequency (%)
-124.61
0.3%
-87.581
0.3%
-86.961
0.3%
-74.741
0.3%
-74.411
0.3%
ValueCountFrequency (%)
25.131
0.3%
23.781
0.3%
19.411
0.3%
191
0.3%
18.631
0.3%

国债-合计.25
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02172774869
Minimum-3.33
Maximum3.33
Zeros358
Zeros (%)93.7%
Negative13
Negative (%)3.4%
Memory size3.1 KiB
2022-03-24T10:34:16.812229image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.33
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.33
Range6.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4289285304
Coefficient of variation (CV)-19.74104803
Kurtosis35.91202074
Mean-0.02172774869
Median Absolute Deviation (MAD)0
Skewness-1.523485074
Sum-8.3
Variance0.1839796842
MonotonicityNot monotonic
2022-03-24T10:34:16.849020image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0358
93.7%
-0.612
 
0.5%
1.092
 
0.5%
-1.092
 
0.5%
3.331
 
0.3%
0.11
 
0.3%
0.581
 
0.3%
0.221
 
0.3%
0.331
 
0.3%
0.551
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-3.331
0.3%
-2.781
0.3%
-2.731
0.3%
-2.471
0.3%
-2.231
0.3%
ValueCountFrequency (%)
3.331
0.3%
2.471
0.3%
2.141
0.3%
1.092
0.5%
0.581
0.3%

国债-合计.26
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007251308901
Minimum-0.55
Maximum1.26
Zeros373
Zeros (%)97.6%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:34:16.885095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.55
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.26
Range1.81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1088403907
Coefficient of variation (CV)15.00975785
Kurtosis83.06933506
Mean0.007251308901
Median Absolute Deviation (MAD)0
Skewness7.057241912
Sum2.77
Variance0.01184623064
MonotonicityNot monotonic
2022-03-24T10:34:16.918988image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0373
97.6%
0.552
 
0.5%
1.261
 
0.3%
0.421
 
0.3%
-0.421
 
0.3%
-0.551
 
0.3%
-0.521
 
0.3%
0.341
 
0.3%
1.141
 
0.3%
ValueCountFrequency (%)
-0.551
 
0.3%
-0.521
 
0.3%
-0.421
 
0.3%
0373
97.6%
0.341
 
0.3%
ValueCountFrequency (%)
1.261
0.3%
1.141
0.3%
0.552
0.5%
0.421
0.3%
0.341
0.3%

国债-合计.27
Real number (ℝ)

ZEROS

Distinct335
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7851570681
Minimum-93.81
Maximum15.83
Zeros12
Zeros (%)3.1%
Negative163
Negative (%)42.7%
Memory size3.1 KiB
2022-03-24T10:34:16.965101image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-93.81
5-th percentile-10.432
Q1-1.6375
median0.205
Q32.405
95-th percentile6.514
Maximum15.83
Range109.64
Interquartile range (IQR)4.0425

Descriptive statistics

Standard deviation8.415034031
Coefficient of variation (CV)-10.71764412
Kurtosis49.79781212
Mean-0.7851570681
Median Absolute Deviation (MAD)2.08
Skewness-5.690446769
Sum-299.93
Variance70.81279774
MonotonicityNot monotonic
2022-03-24T10:34:17.010911image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.14
 
1.0%
1.362
 
0.5%
-1.642
 
0.5%
-1.032
 
0.5%
1.612
 
0.5%
2.022
 
0.5%
2.192
 
0.5%
-3.162
 
0.5%
0.752
 
0.5%
Other values (325)350
91.6%
ValueCountFrequency (%)
-93.811
0.3%
-62.581
0.3%
-46.871
0.3%
-39.851
0.3%
-31.281
0.3%
ValueCountFrequency (%)
15.831
0.3%
12.711
0.3%
11.421
0.3%
11.091
0.3%
10.091
0.3%

国债-合计.28
Real number (ℝ)

ZEROS

Distinct78
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6045549738
Minimum-76.22
Maximum13.17
Zeros256
Zeros (%)67.0%
Negative71
Negative (%)18.6%
Memory size3.1 KiB
2022-03-24T10:34:17.060048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-76.22
5-th percentile-0.99
Q10
median0
Q30
95-th percentile1
Maximum13.17
Range89.39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.660148407
Coefficient of variation (CV)-9.362504076
Kurtosis105.5643736
Mean-0.6045549738
Median Absolute Deviation (MAD)0
Skewness-9.497804733
Sum-230.94
Variance32.03727999
MonotonicityNot monotonic
2022-03-24T10:34:17.106241image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0256
67.0%
-0.113
 
3.4%
-0.29
 
2.4%
0.995
 
1.3%
-0.35
 
1.3%
0.24
 
1.0%
1.913
 
0.8%
0.33
 
0.8%
0.53
 
0.8%
13
 
0.8%
Other values (68)78
 
20.4%
ValueCountFrequency (%)
-76.221
0.3%
-49.11
0.3%
-36.291
0.3%
-34.261
0.3%
-27.931
0.3%
ValueCountFrequency (%)
13.171
0.3%
6.761
0.3%
4.511
0.3%
2.721
0.3%
21
0.3%

国债-合计.29
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.55958115
Minimum-353.97
Maximum69.53
Zeros11
Zeros (%)2.9%
Negative257
Negative (%)67.3%
Memory size3.1 KiB
2022-03-24T10:34:17.154539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-353.97
5-th percentile-139.403
Q1-36.8475
median-11.88
Q33.045
95-th percentile31.0535
Maximum69.53
Range423.5
Interquartile range (IQR)39.8925

Descriptive statistics

Standard deviation55.48974399
Coefficient of variation (CV)-2.170995826
Kurtosis8.132992253
Mean-25.55958115
Median Absolute Deviation (MAD)18.76
Skewness-2.369797117
Sum-9763.76
Variance3079.111689
MonotonicityNot monotonic
2022-03-24T10:34:17.199683image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-14.272
 
0.5%
-2.462
 
0.5%
13.132
 
0.5%
-18.22
 
0.5%
-11.772
 
0.5%
-29.321
 
0.3%
-139.791
 
0.3%
44.081
 
0.3%
-190.321
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-353.971
0.3%
-334.771
0.3%
-283.151
0.3%
-240.291
0.3%
-220.681
0.3%
ValueCountFrequency (%)
69.531
0.3%
67.451
0.3%
63.111
0.3%
61.471
0.3%
52.661
0.3%

国债-合计.30
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.288272251
Minimum-22.19
Maximum113.54
Zeros13
Zeros (%)3.4%
Negative99
Negative (%)25.9%
Memory size3.1 KiB
2022-03-24T10:34:17.245671image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-22.19
5-th percentile-8.649
Q1-0.1
median4.5
Q313.6125
95-th percentile35.8725
Maximum113.54
Range135.73
Interquartile range (IQR)13.7125

Descriptive statistics

Standard deviation16.34003999
Coefficient of variation (CV)1.971465161
Kurtosis12.99346863
Mean8.288272251
Median Absolute Deviation (MAD)6.09
Skewness2.836999568
Sum3166.12
Variance266.9969067
MonotonicityNot monotonic
2022-03-24T10:34:17.295921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
0.913
 
0.8%
6.672
 
0.5%
1.772
 
0.5%
8.82
 
0.5%
-0.652
 
0.5%
2.22
 
0.5%
6.582
 
0.5%
13.92
 
0.5%
-8.632
 
0.5%
Other values (346)350
91.6%
ValueCountFrequency (%)
-22.191
0.3%
-17.541
0.3%
-16.071
0.3%
-15.771
0.3%
-14.441
0.3%
ValueCountFrequency (%)
113.541
0.3%
107.871
0.3%
100.951
0.3%
96.811
0.3%
73.431
0.3%

国债-合计.31
Real number (ℝ)

ZEROS

Distinct320
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4061256545
Minimum-81.64
Maximum37.55
Zeros30
Zeros (%)7.9%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:34:17.345148image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-81.64
5-th percentile-10.125
Q1-2.5375
median0
Q32.11
95-th percentile11.566
Maximum37.55
Range119.19
Interquartile range (IQR)4.6475

Descriptive statistics

Standard deviation9.395904741
Coefficient of variation (CV)-23.13546223
Kurtosis22.48281593
Mean-0.4061256545
Median Absolute Deviation (MAD)2.345
Skewness-2.457723888
Sum-155.14
Variance88.28302589
MonotonicityNot monotonic
2022-03-24T10:34:17.393305image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030
 
7.9%
1.544
 
1.0%
-0.713
 
0.8%
0.63
 
0.8%
1.012
 
0.5%
-1.292
 
0.5%
0.792
 
0.5%
-3.392
 
0.5%
0.712
 
0.5%
-1.832
 
0.5%
Other values (310)330
86.4%
ValueCountFrequency (%)
-81.641
0.3%
-63.281
0.3%
-38.371
0.3%
-36.331
0.3%
-34.581
0.3%
ValueCountFrequency (%)
37.551
0.3%
35.271
0.3%
31.531
0.3%
31.491
0.3%
22.781
0.3%

国债-合计.32
Real number (ℝ)

ZEROS

Distinct308
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4887434555
Minimum-36.12
Maximum34.48
Zeros32
Zeros (%)8.4%
Negative184
Negative (%)48.2%
Memory size3.1 KiB
2022-03-24T10:34:17.441606image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-36.12
5-th percentile-9.881
Q1-1.585
median0
Q31.45
95-th percentile6.0555
Maximum34.48
Range70.6
Interquartile range (IQR)3.035

Descriptive statistics

Standard deviation6.428030724
Coefficient of variation (CV)-13.15215713
Kurtosis13.31004316
Mean-0.4887434555
Median Absolute Deviation (MAD)1.575
Skewness-1.270245665
Sum-186.7
Variance41.31957899
MonotonicityNot monotonic
2022-03-24T10:34:17.488246image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
032
 
8.4%
0.24
 
1.0%
0.214
 
1.0%
0.493
 
0.8%
-0.213
 
0.8%
-0.33
 
0.8%
-0.133
 
0.8%
-0.53
 
0.8%
-0.62
 
0.5%
0.532
 
0.5%
Other values (298)323
84.6%
ValueCountFrequency (%)
-36.121
0.3%
-36.11
0.3%
-35.711
0.3%
-33.551
0.3%
-26.971
0.3%
ValueCountFrequency (%)
34.481
0.3%
32.671
0.3%
17.881
0.3%
16.351
0.3%
15.41
0.3%

国债-合计.33
Real number (ℝ)

ZEROS

Distinct242
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3330104712
Minimum-70.42
Maximum24.37
Zeros43
Zeros (%)11.3%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:17.539831image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.42
5-th percentile-4.3015
Q1-0.8525
median0
Q30.52
95-th percentile3.6385
Maximum24.37
Range94.79
Interquartile range (IQR)1.3725

Descriptive statistics

Standard deviation5.417868618
Coefficient of variation (CV)-16.26936414
Kurtosis86.11062478
Mean-0.3330104712
Median Absolute Deviation (MAD)0.7
Skewness-6.77243749
Sum-127.21
Variance29.35330036
MonotonicityNot monotonic
2022-03-24T10:34:17.590542image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
043
 
11.3%
0.29
 
2.4%
0.39
 
2.4%
-0.18
 
2.1%
-0.37
 
1.8%
0.17
 
1.8%
-0.515
 
1.3%
0.315
 
1.3%
-0.525
 
1.3%
-0.74
 
1.0%
Other values (232)280
73.3%
ValueCountFrequency (%)
-70.421
0.3%
-43.151
0.3%
-24.91
0.3%
-19.331
0.3%
-9.881
0.3%
ValueCountFrequency (%)
24.371
0.3%
19.961
0.3%
19.661
0.3%
13.441
0.3%
11.921
0.3%

国债-合计.34
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5257329843
Minimum-27.52
Maximum44.99
Zeros14
Zeros (%)3.7%
Negative185
Negative (%)48.4%
Memory size3.1 KiB
2022-03-24T10:34:17.640457image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.52
5-th percentile-9.809
Q1-3.1575
median0
Q33.33
95-th percentile13.12
Maximum44.99
Range72.51
Interquartile range (IQR)6.4875

Descriptive statistics

Standard deviation7.483131537
Coefficient of variation (CV)14.23371133
Kurtosis6.316813175
Mean0.5257329843
Median Absolute Deviation (MAD)3.33
Skewness1.094249752
Sum200.83
Variance55.9972576
MonotonicityNot monotonic
2022-03-24T10:34:17.688355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
0.493
 
0.8%
-0.023
 
0.8%
-3.122
 
0.5%
-0.32
 
0.5%
3.332
 
0.5%
-4.162
 
0.5%
-4.22
 
0.5%
3.12
 
0.5%
-0.122
 
0.5%
Other values (338)348
91.1%
ValueCountFrequency (%)
-27.521
0.3%
-23.71
0.3%
-22.811
0.3%
-17.681
0.3%
-16.711
0.3%
ValueCountFrequency (%)
44.991
0.3%
36.091
0.3%
33.011
0.3%
28.61
0.3%
23.21
0.3%

国债-合计.35
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001073298429
Minimum-0.52
Maximum0.58
Zeros376
Zeros (%)98.4%
Negative4
Negative (%)1.0%
Memory size3.1 KiB
2022-03-24T10:34:17.731143image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.52
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.58
Range1.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04683863929
Coefficient of variation (CV)-43.63990295
Kurtosis111.1908647
Mean-0.001073298429
Median Absolute Deviation (MAD)0
Skewness0.2674207851
Sum-0.41
Variance0.00219385813
MonotonicityNot monotonic
2022-03-24T10:34:17.763695image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0376
98.4%
-0.521
 
0.3%
-0.11
 
0.3%
0.581
 
0.3%
-0.351
 
0.3%
-0.231
 
0.3%
0.211
 
0.3%
ValueCountFrequency (%)
-0.521
 
0.3%
-0.351
 
0.3%
-0.231
 
0.3%
-0.11
 
0.3%
0376
98.4%
ValueCountFrequency (%)
0.581
 
0.3%
0.211
 
0.3%
0376
98.4%
-0.11
 
0.3%
-0.231
 
0.3%

国债-合计.36
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0005497382199
Minimum-0.21
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:17.796640image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.21
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01074453471
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.0005497382199
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.21
Variance0.0001154450262
MonotonicityNot monotonic
2022-03-24T10:34:17.827566image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.211
 
0.3%
ValueCountFrequency (%)
-0.211
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.211
 
0.3%

国债-合计.37
Real number (ℝ)

ZEROS

Distinct341
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3134031414
Minimum-24.48
Maximum38.68
Zeros16
Zeros (%)4.2%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:34:17.869788image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-24.48
5-th percentile-9.328
Q1-2.68
median0
Q32.61
95-th percentile10.9735
Maximum38.68
Range63.16
Interquartile range (IQR)5.29

Descriptive statistics

Standard deviation6.443406155
Coefficient of variation (CV)20.55948172
Kurtosis6.519915246
Mean0.3134031414
Median Absolute Deviation (MAD)2.68
Skewness1.268064697
Sum119.72
Variance41.51748288
MonotonicityNot monotonic
2022-03-24T10:34:17.916277image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016
 
4.2%
-0.513
 
0.8%
-2.252
 
0.5%
-4.612
 
0.5%
-0.562
 
0.5%
3.272
 
0.5%
-9.292
 
0.5%
-10.962
 
0.5%
0.912
 
0.5%
-1.262
 
0.5%
Other values (331)347
90.8%
ValueCountFrequency (%)
-24.481
0.3%
-17.581
0.3%
-16.841
0.3%
-15.881
0.3%
-13.171
0.3%
ValueCountFrequency (%)
38.681
0.3%
30.251
0.3%
27.711
0.3%
25.991
0.3%
22.511
0.3%

国债-合计.38
Real number (ℝ)

ZEROS

Distinct106
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05405759162
Minimum-8.64
Maximum29.43
Zeros209
Zeros (%)54.7%
Negative130
Negative (%)34.0%
Memory size3.1 KiB
2022-03-24T10:34:17.966238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.64
5-th percentile-1.731
Q1-0.2
median0
Q30
95-th percentile0.48
Maximum29.43
Range38.07
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation2.343046232
Coefficient of variation (CV)-43.34351867
Kurtosis85.78445399
Mean-0.05405759162
Median Absolute Deviation (MAD)0
Skewness7.400461762
Sum-20.65
Variance5.489865645
MonotonicityNot monotonic
2022-03-24T10:34:18.013756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0209
54.7%
-0.217
 
4.5%
-0.115
 
3.9%
0.195
 
1.3%
-0.114
 
1.0%
-0.224
 
1.0%
0.14
 
1.0%
-0.44
 
1.0%
-0.623
 
0.8%
-0.673
 
0.8%
Other values (96)114
29.8%
ValueCountFrequency (%)
-8.641
0.3%
-6.711
0.3%
-6.661
0.3%
-5.381
0.3%
-5.231
0.3%
ValueCountFrequency (%)
29.431
0.3%
21.421
0.3%
9.811
0.3%
8.771
0.3%
7.441
0.3%

国债-合计.39
Real number (ℝ)

ZEROS

Distinct364
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.843534031
Minimum-111.33
Maximum150.27
Zeros13
Zeros (%)3.4%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:34:18.063264image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-111.33
5-th percentile-31.812
Q1-6.3
median5.535
Q321.42
95-th percentile50.9695
Maximum150.27
Range261.6
Interquartile range (IQR)27.72

Descriptive statistics

Standard deviation27.59794125
Coefficient of variation (CV)3.518559508
Kurtosis4.165477731
Mean7.843534031
Median Absolute Deviation (MAD)13.41
Skewness0.4330038122
Sum2996.23
Variance761.646361
MonotonicityNot monotonic
2022-03-24T10:34:18.112163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
11.582
 
0.5%
-2.522
 
0.5%
-6.32
 
0.5%
-5.462
 
0.5%
12.622
 
0.5%
-12.032
 
0.5%
-23.561
 
0.3%
-25.111
 
0.3%
-7.251
 
0.3%
Other values (354)354
92.7%
ValueCountFrequency (%)
-111.331
0.3%
-97.21
0.3%
-80.351
0.3%
-66.51
0.3%
-59.321
0.3%
ValueCountFrequency (%)
150.271
0.3%
120.721
0.3%
100.131
0.3%
93.861
0.3%
91.221
0.3%

国债-合计.40
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.42513089
Minimum-44.01
Maximum63.56
Zeros11
Zeros (%)2.9%
Negative156
Negative (%)40.8%
Memory size3.1 KiB
2022-03-24T10:34:18.161239image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-44.01
5-th percentile-15.475
Q1-3.6675
median1.115
Q38.0425
95-th percentile22.0185
Maximum63.56
Range107.57
Interquartile range (IQR)11.71

Descriptive statistics

Standard deviation12.36784706
Coefficient of variation (CV)5.099867849
Kurtosis3.391611049
Mean2.42513089
Median Absolute Deviation (MAD)5.715
Skewness0.5257484964
Sum926.4
Variance152.9636408
MonotonicityNot monotonic
2022-03-24T10:34:18.210419image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
1.822
 
0.5%
-6.82
 
0.5%
-5.172
 
0.5%
-4.062
 
0.5%
3.992
 
0.5%
-3.482
 
0.5%
-11.52
 
0.5%
72
 
0.5%
-2.472
 
0.5%
Other values (343)353
92.4%
ValueCountFrequency (%)
-44.011
0.3%
-40.531
0.3%
-33.181
0.3%
-30.181
0.3%
-29.841
0.3%
ValueCountFrequency (%)
63.561
0.3%
51.131
0.3%
44.511
0.3%
44.21
0.3%
42.741
0.3%

国债-合计.41
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.503874346
Minimum-46.2
Maximum41.35
Zeros12
Zeros (%)3.1%
Negative137
Negative (%)35.9%
Memory size3.1 KiB
2022-03-24T10:34:18.258801image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-46.2
5-th percentile-13.466
Q1-3.145
median2.11
Q37.24
95-th percentile21.218
Maximum41.35
Range87.55
Interquartile range (IQR)10.385

Descriptive statistics

Standard deviation10.67896127
Coefficient of variation (CV)4.264974914
Kurtosis2.184235764
Mean2.503874346
Median Absolute Deviation (MAD)5.19
Skewness0.1028738837
Sum956.48
Variance114.0402138
MonotonicityNot monotonic
2022-03-24T10:34:18.303333image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.923
 
0.8%
-1.532
 
0.5%
3.872
 
0.5%
-3.422
 
0.5%
1.752
 
0.5%
-3.92
 
0.5%
5.722
 
0.5%
11.132
 
0.5%
4.442
 
0.5%
Other values (345)351
91.9%
ValueCountFrequency (%)
-46.21
0.3%
-32.971
0.3%
-28.541
0.3%
-26.411
0.3%
-23.581
0.3%
ValueCountFrequency (%)
41.351
0.3%
35.331
0.3%
34.811
0.3%
33.641
0.3%
33.541
0.3%

国债-合计.42
Real number (ℝ)

ZEROS

Distinct354
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4452356021
Minimum-18.1
Maximum28.95
Zeros11
Zeros (%)2.9%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:34:18.348620image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.1
5-th percentile-9.949
Q1-3.1475
median0
Q33.63
95-th percentile11.8995
Maximum28.95
Range47.05
Interquartile range (IQR)6.7775

Descriptive statistics

Standard deviation6.641383368
Coefficient of variation (CV)14.91655954
Kurtosis1.94939994
Mean0.4452356021
Median Absolute Deviation (MAD)3.355
Skewness0.5558615862
Sum170.08
Variance44.10797304
MonotonicityNot monotonic
2022-03-24T10:34:18.397039image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-1.772
 
0.5%
9.422
 
0.5%
-0.992
 
0.5%
5.212
 
0.5%
2.542
 
0.5%
2.272
 
0.5%
3.632
 
0.5%
3.662
 
0.5%
5.292
 
0.5%
Other values (344)353
92.4%
ValueCountFrequency (%)
-18.11
0.3%
-18.071
0.3%
-17.961
0.3%
-16.211
0.3%
-15.751
0.3%
ValueCountFrequency (%)
28.951
0.3%
21.661
0.3%
21.61
0.3%
21.461
0.3%
20.51
0.3%

国债-合计.43
Real number (ℝ)

ZEROS

Distinct333
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1112827225
Minimum-40.14
Maximum27.19
Zeros12
Zeros (%)3.1%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:18.448329image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-40.14
5-th percentile-7.22
Q1-2.1225
median0.045
Q31.8875
95-th percentile6.4895
Maximum27.19
Range67.33
Interquartile range (IQR)4.01

Descriptive statistics

Standard deviation5.170748351
Coefficient of variation (CV)-46.46496989
Kurtosis12.98630052
Mean-0.1112827225
Median Absolute Deviation (MAD)2
Skewness-0.9903386587
Sum-42.51
Variance26.73663851
MonotonicityNot monotonic
2022-03-24T10:34:18.497202image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-0.123
 
0.8%
0.813
 
0.8%
1.262
 
0.5%
1.612
 
0.5%
1.382
 
0.5%
2.842
 
0.5%
0.642
 
0.5%
1.972
 
0.5%
1.482
 
0.5%
Other values (323)350
91.6%
ValueCountFrequency (%)
-40.141
0.3%
-23.211
0.3%
-17.141
0.3%
-16.091
0.3%
-15.251
0.3%
ValueCountFrequency (%)
27.191
0.3%
21.081
0.3%
16.631
0.3%
14.221
0.3%
13.11
0.3%

国债-合计.44
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08028795812
Minimum-28.22
Maximum28.74
Zeros12
Zeros (%)3.1%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:34:18.549099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.22
5-th percentile-9.8145
Q1-3.1775
median0
Q32.9075
95-th percentile10.369
Maximum28.74
Range56.96
Interquartile range (IQR)6.085

Descriptive statistics

Standard deviation6.376468688
Coefficient of variation (CV)79.41998823
Kurtosis2.964677553
Mean0.08028795812
Median Absolute Deviation (MAD)3.085
Skewness0.3888311378
Sum30.67
Variance40.65935294
MonotonicityNot monotonic
2022-03-24T10:34:18.594506image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.643
 
0.8%
-0.463
 
0.8%
-11.872
 
0.5%
0.732
 
0.5%
-6.372
 
0.5%
2.532
 
0.5%
-0.912
 
0.5%
-3.222
 
0.5%
-0.232
 
0.5%
Other values (338)350
91.6%
ValueCountFrequency (%)
-28.221
0.3%
-17.711
0.3%
-15.771
0.3%
-15.161
0.3%
-15.151
0.3%
ValueCountFrequency (%)
28.741
0.3%
23.491
0.3%
22.191
0.3%
221
0.3%
19.471
0.3%

国债-合计.45
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004188481675
Minimum-0.23
Maximum0.49
Zeros362
Zeros (%)94.8%
Negative11
Negative (%)2.9%
Memory size3.1 KiB
2022-03-24T10:34:18.637605image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.23
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.49
Range0.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03369357768
Coefficient of variation (CV)80.4434167
Kurtosis129.1456901
Mean0.0004188481675
Median Absolute Deviation (MAD)0
Skewness7.805633724
Sum0.16
Variance0.001135257177
MonotonicityNot monotonic
2022-03-24T10:34:18.673107image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0362
94.8%
-0.013
 
0.8%
-0.13
 
0.8%
-0.112
 
0.5%
0.032
 
0.5%
0.12
 
0.5%
0.011
 
0.3%
0.231
 
0.3%
-0.231
 
0.3%
0.491
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-0.231
 
0.3%
-0.112
0.5%
-0.13
0.8%
-0.071
 
0.3%
-0.051
 
0.3%
ValueCountFrequency (%)
0.491
0.3%
0.231
0.3%
0.12
0.5%
0.051
0.3%
0.032
0.5%

国债-合计.46
Real number (ℝ)

ZEROS

Distinct23
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004188481675
Minimum-1.05
Maximum0.57
Zeros350
Zeros (%)91.6%
Negative21
Negative (%)5.5%
Memory size3.1 KiB
2022-03-24T10:34:18.713537image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.05
5-th percentile-0.0195
Q10
median0
Q30
95-th percentile0
Maximum0.57
Range1.62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08201687345
Coefficient of variation (CV)-19.58152854
Kurtosis82.20660785
Mean-0.004188481675
Median Absolute Deviation (MAD)0
Skewness-5.044973768
Sum-1.6
Variance0.006726767531
MonotonicityNot monotonic
2022-03-24T10:34:18.752822image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0350
91.6%
-0.023
 
0.8%
-0.033
 
0.8%
0.232
 
0.5%
-0.062
 
0.5%
-0.112
 
0.5%
0.112
 
0.5%
-0.422
 
0.5%
0.012
 
0.5%
-0.151
 
0.3%
Other values (13)13
 
3.4%
ValueCountFrequency (%)
-1.051
0.3%
-0.422
0.5%
-0.391
0.3%
-0.281
0.3%
-0.221
0.3%
ValueCountFrequency (%)
0.571
0.3%
0.391
0.3%
0.371
0.3%
0.232
0.5%
0.112
0.5%

国债-合计.47
Real number (ℝ)

ZEROS

Distinct302
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2703926702
Minimum-12.93
Maximum7.96
Zeros18
Zeros (%)4.7%
Negative198
Negative (%)51.8%
Memory size3.1 KiB
2022-03-24T10:34:18.800761image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.93
5-th percentile-4.3565
Q1-1.22
median-0.065
Q30.9425
95-th percentile3.3895
Maximum7.96
Range20.89
Interquartile range (IQR)2.1625

Descriptive statistics

Standard deviation2.540730691
Coefficient of variation (CV)-9.396448097
Kurtosis4.753548316
Mean-0.2703926702
Median Absolute Deviation (MAD)1.06
Skewness-1.092222127
Sum-103.29
Variance6.455312444
MonotonicityNot monotonic
2022-03-24T10:34:18.846698image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.393
 
0.8%
-0.783
 
0.8%
0.533
 
0.8%
1.113
 
0.8%
-0.193
 
0.8%
-1.223
 
0.8%
-0.363
 
0.8%
-1.333
 
0.8%
0.233
 
0.8%
Other values (292)337
88.2%
ValueCountFrequency (%)
-12.931
0.3%
-12.661
0.3%
-10.581
0.3%
-10.191
0.3%
-8.711
0.3%
ValueCountFrequency (%)
7.961
0.3%
7.471
0.3%
5.961
0.3%
5.91
0.3%
5.61
0.3%

国债-合计.48
Real number (ℝ)

ZEROS

Distinct73
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07096858639
Minimum-6.36
Maximum1.27
Zeros240
Zeros (%)62.8%
Negative80
Negative (%)20.9%
Memory size3.1 KiB
2022-03-24T10:34:18.893445image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.36
5-th percentile-0.329
Q10
median0
Q30
95-th percentile0.219
Maximum1.27
Range7.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5732353765
Coefficient of variation (CV)-8.077311466
Kurtosis64.79194808
Mean-0.07096858639
Median Absolute Deviation (MAD)0
Skewness-7.392579164
Sum-27.11
Variance0.3285987969
MonotonicityNot monotonic
2022-03-24T10:34:18.940517image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0240
62.8%
-0.019
 
2.4%
-0.18
 
2.1%
0.17
 
1.8%
0.017
 
1.8%
-0.036
 
1.6%
-0.025
 
1.3%
-0.114
 
1.0%
0.113
 
0.8%
-0.053
 
0.8%
Other values (63)90
 
23.6%
ValueCountFrequency (%)
-6.361
0.3%
-4.731
0.3%
-4.31
0.3%
-4.21
0.3%
-31
0.3%
ValueCountFrequency (%)
1.271
0.3%
0.951
0.3%
0.861
0.3%
0.711
0.3%
0.651
0.3%

国债-合计.49
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.997486911
Minimum-74.99
Maximum73.17
Zeros11
Zeros (%)2.9%
Negative155
Negative (%)40.6%
Memory size3.1 KiB
2022-03-24T10:34:18.990213image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.99
5-th percentile-29.885
Q1-8.1975
median3.105
Q320.7675
95-th percentile42.926
Maximum73.17
Range148.16
Interquartile range (IQR)28.965

Descriptive statistics

Standard deviation22.47998679
Coefficient of variation (CV)4.498258264
Kurtosis0.7551692227
Mean4.997486911
Median Absolute Deviation (MAD)13.785
Skewness-0.07568726767
Sum1909.04
Variance505.3498063
MonotonicityNot monotonic
2022-03-24T10:34:19.318687image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
32.652
 
0.5%
33.482
 
0.5%
9.622
 
0.5%
13.262
 
0.5%
22.962
 
0.5%
10.812
 
0.5%
24.362
 
0.5%
-8.22
 
0.5%
-4.262
 
0.5%
Other values (352)353
92.4%
ValueCountFrequency (%)
-74.991
0.3%
-72.131
0.3%
-64.461
0.3%
-61.671
0.3%
-51.11
0.3%
ValueCountFrequency (%)
73.171
0.3%
65.481
0.3%
611
0.3%
59.311
0.3%
58.11
0.3%

国债-合计.50
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4431675393
Minimum-115.66
Maximum58.52
Zeros12
Zeros (%)3.1%
Negative181
Negative (%)47.4%
Memory size3.1 KiB
2022-03-24T10:34:19.372355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-115.66
5-th percentile-31.0745
Q1-8.18
median0
Q39.45
95-th percentile28.216
Maximum58.52
Range174.18
Interquartile range (IQR)17.63

Descriptive statistics

Standard deviation20.61257744
Coefficient of variation (CV)-46.51192972
Kurtosis5.925197985
Mean-0.4431675393
Median Absolute Deviation (MAD)8.76
Skewness-1.314767699
Sum-169.29
Variance424.8783487
MonotonicityNot monotonic
2022-03-24T10:34:19.419448image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.162
 
0.5%
6.762
 
0.5%
6.282
 
0.5%
4.912
 
0.5%
-6.132
 
0.5%
-17.032
 
0.5%
7.232
 
0.5%
21.752
 
0.5%
-1.682
 
0.5%
Other values (350)352
92.1%
ValueCountFrequency (%)
-115.661
0.3%
-94.11
0.3%
-88.411
0.3%
-87.561
0.3%
-831
0.3%
ValueCountFrequency (%)
58.521
0.3%
57.741
0.3%
55.591
0.3%
49.491
0.3%
46.231
0.3%

国债-合计.51
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.061806283
Minimum-129.16
Maximum68.35
Zeros11
Zeros (%)2.9%
Negative216
Negative (%)56.5%
Memory size3.1 KiB
2022-03-24T10:34:19.469419image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-129.16
5-th percentile-50.3185
Q1-8.005
median-1.795
Q33.535
95-th percentile19.2105
Maximum68.35
Range197.51
Interquartile range (IQR)11.54

Descriptive statistics

Standard deviation22.2317543
Coefficient of variation (CV)-4.392059486
Kurtosis7.897318549
Mean-5.061806283
Median Absolute Deviation (MAD)5.98
Skewness-1.964550361
Sum-1933.61
Variance494.2508994
MonotonicityNot monotonic
2022-03-24T10:34:19.517896image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
1.423
 
0.8%
-2.032
 
0.5%
-3.662
 
0.5%
1.752
 
0.5%
-7.862
 
0.5%
0.952
 
0.5%
12.922
 
0.5%
2.112
 
0.5%
3.252
 
0.5%
Other values (345)352
92.1%
ValueCountFrequency (%)
-129.161
0.3%
-107.461
0.3%
-104.631
0.3%
-103.11
0.3%
-95.131
0.3%
ValueCountFrequency (%)
68.351
0.3%
59.921
0.3%
58.291
0.3%
46.751
0.3%
41.491
0.3%

国债-合计.52
Real number (ℝ)

ZEROS

Distinct358
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2338743455
Minimum-74.6
Maximum46.97
Zeros12
Zeros (%)3.1%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:19.570142image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.6
5-th percentile-17.57
Q1-3.775
median0.08
Q35.0025
95-th percentile16.5575
Maximum46.97
Range121.57
Interquartile range (IQR)8.7775

Descriptive statistics

Standard deviation11.77580025
Coefficient of variation (CV)-50.35097041
Kurtosis9.895874812
Mean-0.2338743455
Median Absolute Deviation (MAD)4.255
Skewness-1.715931087
Sum-89.34
Variance138.6694716
MonotonicityNot monotonic
2022-03-24T10:34:19.620622image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-4.612
 
0.5%
-17.572
 
0.5%
0.22
 
0.5%
0.132
 
0.5%
8.672
 
0.5%
1.052
 
0.5%
0.52
 
0.5%
0.572
 
0.5%
0.392
 
0.5%
Other values (348)352
92.1%
ValueCountFrequency (%)
-74.61
0.3%
-57.81
0.3%
-55.091
0.3%
-54.371
0.3%
-51.291
0.3%
ValueCountFrequency (%)
46.971
0.3%
39.441
0.3%
29.221
0.3%
28.421
0.3%
25.241
0.3%

国债-合计.53
Real number (ℝ)

ZEROS

Distinct344
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.056963351
Minimum-69.33
Maximum75.04
Zeros14
Zeros (%)3.7%
Negative168
Negative (%)44.0%
Memory size3.1 KiB
2022-03-24T10:34:19.670771image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-69.33
5-th percentile-8.599
Q1-1.425
median0.21
Q33.98
95-th percentile14.72
Maximum75.04
Range144.37
Interquartile range (IQR)5.405

Descriptive statistics

Standard deviation12.46510633
Coefficient of variation (CV)11.79331934
Kurtosis16.17976591
Mean1.056963351
Median Absolute Deviation (MAD)2.615
Skewness-0.7015879638
Sum403.76
Variance155.3788758
MonotonicityNot monotonic
2022-03-24T10:34:19.717426image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-0.313
 
0.8%
2.142
 
0.5%
-1.412
 
0.5%
-2.942
 
0.5%
3.822
 
0.5%
2.622
 
0.5%
-0.412
 
0.5%
0.362
 
0.5%
14.392
 
0.5%
Other values (334)349
91.4%
ValueCountFrequency (%)
-69.331
0.3%
-61.971
0.3%
-60.951
0.3%
-60.641
0.3%
-59.141
0.3%
ValueCountFrequency (%)
75.041
0.3%
72.111
0.3%
48.521
0.3%
45.321
0.3%
41.751
0.3%

国债-合计.54
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.163298429
Minimum-96.22
Maximum24.95
Zeros11
Zeros (%)2.9%
Negative186
Negative (%)48.7%
Memory size3.1 KiB
2022-03-24T10:34:19.766120image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-96.22
5-th percentile-15.6415
Q1-3.6475
median0
Q33.225
95-th percentile13.007
Maximum24.95
Range121.17
Interquartile range (IQR)6.8725

Descriptive statistics

Standard deviation11.5382316
Coefficient of variation (CV)-9.918548254
Kurtosis20.63797611
Mean-1.163298429
Median Absolute Deviation (MAD)3.465
Skewness-3.418241078
Sum-444.38
Variance133.1307886
MonotonicityNot monotonic
2022-03-24T10:34:19.816530image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-1.063
 
0.8%
3.93
 
0.8%
-1.632
 
0.5%
-5.212
 
0.5%
-4.352
 
0.5%
-5.192
 
0.5%
1.252
 
0.5%
-1.982
 
0.5%
3.722
 
0.5%
Other values (343)351
91.9%
ValueCountFrequency (%)
-96.221
0.3%
-71.791
0.3%
-61.461
0.3%
-59.921
0.3%
-56.611
0.3%
ValueCountFrequency (%)
24.951
0.3%
21.971
0.3%
20.851
0.3%
20.281
0.3%
20.071
0.3%

国债-合计.55
Real number (ℝ)

ZEROS

Distinct19
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03376963351
Minimum-0.51
Maximum7
Zeros364
Zeros (%)95.3%
Negative7
Negative (%)1.8%
Memory size3.1 KiB
2022-03-24T10:34:19.860230image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.51
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4083902582
Coefficient of variation (CV)12.09341695
Kurtosis234.5812225
Mean0.03376963351
Median Absolute Deviation (MAD)0
Skewness14.61333785
Sum12.9
Variance0.166782603
MonotonicityNot monotonic
2022-03-24T10:34:19.896115image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0364
95.3%
-0.291
 
0.3%
-0.011
 
0.3%
0.351
 
0.3%
-0.11
 
0.3%
-0.221
 
0.3%
0.221
 
0.3%
-0.111
 
0.3%
0.491
 
0.3%
0.11
 
0.3%
Other values (9)9
 
2.4%
ValueCountFrequency (%)
-0.511
0.3%
-0.311
0.3%
-0.291
0.3%
-0.221
0.3%
-0.111
0.3%
ValueCountFrequency (%)
71
0.3%
3.341
0.3%
1.441
0.3%
0.681
0.3%
0.511
0.3%

国债-合计.56
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01034031414
Minimum-2.72
Maximum3.43
Zeros365
Zeros (%)95.5%
Negative12
Negative (%)3.1%
Memory size3.1 KiB
2022-03-24T10:34:19.935487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.43
Range6.15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3007298897
Coefficient of variation (CV)-29.08324503
Kurtosis77.15148542
Mean-0.01034031414
Median Absolute Deviation (MAD)0
Skewness2.148626298
Sum-3.95
Variance0.09043846656
MonotonicityNot monotonic
2022-03-24T10:34:19.969746image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0365
95.5%
-0.423
 
0.8%
3.431
 
0.3%
-1.951
 
0.3%
-0.111
 
0.3%
-1.331
 
0.3%
-0.841
 
0.3%
-2.721
 
0.3%
-0.411
 
0.3%
0.411
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-2.721
0.3%
-1.951
0.3%
-1.331
0.3%
-1.091
0.3%
-0.871
0.3%
ValueCountFrequency (%)
3.431
0.3%
2.371
0.3%
0.471
0.3%
0.421
0.3%
0.411
0.3%

国债-合计.57
Real number (ℝ)

ZEROS

Distinct268
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.095837696
Minimum-66.6
Maximum16.79
Zeros26
Zeros (%)6.8%
Negative194
Negative (%)50.8%
Memory size3.1 KiB
2022-03-24T10:34:20.016665image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-66.6
5-th percentile-6.5265
Q1-0.6625
median-0.02
Q30.3675
95-th percentile2.63
Maximum16.79
Range83.39
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation7.236273399
Coefficient of variation (CV)-6.603417115
Kurtosis36.30429641
Mean-1.095837696
Median Absolute Deviation (MAD)0.515
Skewness-5.317975817
Sum-418.61
Variance52.36365271
MonotonicityNot monotonic
2022-03-24T10:34:20.064922image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
 
6.8%
0.116
 
1.6%
0.15
 
1.3%
0.315
 
1.3%
-0.214
 
1.0%
-0.024
 
1.0%
-0.114
 
1.0%
-0.094
 
1.0%
0.213
 
0.8%
-0.043
 
0.8%
Other values (258)318
83.2%
ValueCountFrequency (%)
-66.61
0.3%
-56.341
0.3%
-49.781
0.3%
-37.871
0.3%
-34.521
0.3%
ValueCountFrequency (%)
16.791
0.3%
15.281
0.3%
14.91
0.3%
11.461
0.3%
10.571
0.3%

国债-合计.58
Real number (ℝ)

ZEROS

Distinct52
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5606282723
Minimum-63.14
Maximum0.52
Zeros297
Zeros (%)77.7%
Negative61
Negative (%)16.0%
Memory size3.1 KiB
2022-03-24T10:34:20.115078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.14
5-th percentile-0.5095
Q10
median0
Q30
95-th percentile0.06
Maximum0.52
Range63.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.156313368
Coefficient of variation (CV)-7.41367065
Kurtosis145.649395
Mean-0.5606282723
Median Absolute Deviation (MAD)0
Skewness-11.05406243
Sum-214.16
Variance17.27494081
MonotonicityNot monotonic
2022-03-24T10:34:20.164008image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
77.7%
-0.016
 
1.6%
-0.45
 
1.3%
-0.064
 
1.0%
0.14
 
1.0%
-0.24
 
1.0%
-0.14
 
1.0%
-0.023
 
0.8%
0.23
 
0.8%
-0.492
 
0.5%
Other values (42)50
 
13.1%
ValueCountFrequency (%)
-63.141
0.3%
-29.021
0.3%
-23.151
0.3%
-21.491
0.3%
-18.011
0.3%
ValueCountFrequency (%)
0.521
0.3%
0.51
0.3%
0.412
0.5%
0.41
0.3%
0.251
0.3%

国债-合计.59
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.477905759
Minimum-183.65
Maximum121.49
Zeros11
Zeros (%)2.9%
Negative201
Negative (%)52.6%
Memory size3.1 KiB
2022-03-24T10:34:20.213958image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-183.65
5-th percentile-102.4945
Q1-20.9925
median-1.3
Q315.4625
95-th percentile50.264
Maximum121.49
Range305.14
Interquartile range (IQR)36.455

Descriptive statistics

Standard deviation43.75894648
Coefficient of variation (CV)-5.851764904
Kurtosis2.949628183
Mean-7.477905759
Median Absolute Deviation (MAD)18.475
Skewness-1.219087446
Sum-2856.56
Variance1914.845397
MonotonicityNot monotonic
2022-03-24T10:34:20.258727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-16.432
 
0.5%
1.32
 
0.5%
-4.82
 
0.5%
48.811
 
0.3%
-7.051
 
0.3%
-102.511
 
0.3%
-31.791
 
0.3%
0.791
 
0.3%
-88.251
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-183.651
0.3%
-183.511
0.3%
-163.451
0.3%
-157.271
0.3%
-149.411
0.3%
ValueCountFrequency (%)
121.491
0.3%
98.091
0.3%
88.481
0.3%
84.631
0.3%
83.471
0.3%

国债-合计.60
Real number (ℝ)

ZEROS

Distinct77
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3070680628
Minimum-3.37
Maximum33.76
Zeros250
Zeros (%)65.4%
Negative40
Negative (%)10.5%
Memory size3.1 KiB
2022-03-24T10:34:20.306410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.37
5-th percentile-0.7045
Q10
median0
Q30
95-th percentile2.452
Maximum33.76
Range37.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.047103271
Coefficient of variation (CV)6.666610822
Kurtosis188.4090864
Mean0.3070680628
Median Absolute Deviation (MAD)0
Skewness11.90913451
Sum117.3
Variance4.190631801
MonotonicityNot monotonic
2022-03-24T10:34:20.352881image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0250
65.4%
0.211
 
2.9%
0.510
 
2.6%
0.517
 
1.8%
0.46
 
1.6%
-0.35
 
1.3%
-0.55
 
1.3%
0.14
 
1.0%
13
 
0.8%
0.33
 
0.8%
Other values (67)78
 
20.4%
ValueCountFrequency (%)
-3.371
0.3%
-3.221
0.3%
-2.991
0.3%
-2.621
0.3%
-2.311
0.3%
ValueCountFrequency (%)
33.761
0.3%
6.671
0.3%
5.981
0.3%
5.911
0.3%
5.61
0.3%

国债-合计.61
Real number (ℝ)

ZEROS

Distinct117
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3165445026
Minimum-5.06
Maximum11.45
Zeros182
Zeros (%)47.6%
Negative84
Negative (%)22.0%
Memory size3.1 KiB
2022-03-24T10:34:20.404023image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.06
5-th percentile-1.4195
Q10
median0
Q30.3075
95-th percentile3.7025
Maximum11.45
Range16.51
Interquartile range (IQR)0.3075

Descriptive statistics

Standard deviation1.618157176
Coefficient of variation (CV)5.111942122
Kurtosis10.88830797
Mean0.3165445026
Median Absolute Deviation (MAD)0.1
Skewness2.242928189
Sum120.92
Variance2.618432648
MonotonicityNot monotonic
2022-03-24T10:34:20.453291image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0182
47.6%
-0.215
 
3.9%
0.513
 
3.4%
0.519
 
2.4%
-0.17
 
1.8%
0.26
 
1.6%
0.35
 
1.3%
0.15
 
1.3%
-0.515
 
1.3%
-0.55
 
1.3%
Other values (107)130
34.0%
ValueCountFrequency (%)
-5.061
0.3%
-4.531
0.3%
-4.181
0.3%
-3.861
0.3%
-3.231
0.3%
ValueCountFrequency (%)
11.451
0.3%
8.121
0.3%
7.161
0.3%
7.11
0.3%
6.911
0.3%

国债-合计.62
Real number (ℝ)

ZEROS

Distinct103
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2171727749
Minimum-3.8
Maximum5.8
Zeros207
Zeros (%)54.2%
Negative66
Negative (%)17.3%
Memory size3.1 KiB
2022-03-24T10:34:20.504555image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.8
5-th percentile-0.72
Q10
median0
Q30.2
95-th percentile1.987
Maximum5.8
Range9.6
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.9726090498
Coefficient of variation (CV)4.47850358
Kurtosis9.095426367
Mean0.2171727749
Median Absolute Deviation (MAD)0
Skewness1.604413107
Sum82.96
Variance0.9459683638
MonotonicityNot monotonic
2022-03-24T10:34:20.553122image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0207
54.2%
-0.111
 
2.9%
-0.28
 
2.1%
0.27
 
1.8%
0.16
 
1.6%
0.516
 
1.6%
0.195
 
1.3%
0.55
 
1.3%
0.394
 
1.0%
1.083
 
0.8%
Other values (93)120
31.4%
ValueCountFrequency (%)
-3.81
0.3%
-3.431
0.3%
-2.931
0.3%
-2.751
0.3%
-2.421
0.3%
ValueCountFrequency (%)
5.81
0.3%
5.581
0.3%
4.561
0.3%
4.141
0.3%
3.911
0.3%

国债-合计.63
Real number (ℝ)

ZEROS

Distinct69
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09573298429
Minimum-1.73
Maximum4.99
Zeros245
Zeros (%)64.1%
Negative57
Negative (%)14.9%
Memory size3.1 KiB
2022-03-24T10:34:20.603162image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.73
5-th percentile-0.5
Q10
median0
Q30
95-th percentile1.0585
Maximum4.99
Range6.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5745721785
Coefficient of variation (CV)6.001820405
Kurtosis22.2414778
Mean0.09573298429
Median Absolute Deviation (MAD)0
Skewness3.538545897
Sum36.57
Variance0.3301331884
MonotonicityNot monotonic
2022-03-24T10:34:20.650497image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0245
64.1%
0.111
 
2.9%
-0.110
 
2.6%
-0.27
 
1.8%
0.27
 
1.8%
0.516
 
1.6%
0.35
 
1.3%
0.45
 
1.3%
0.215
 
1.3%
-0.34
 
1.0%
Other values (59)77
 
20.2%
ValueCountFrequency (%)
-1.731
0.3%
-1.421
0.3%
-1.411
0.3%
-1.121
0.3%
-1.041
0.3%
ValueCountFrequency (%)
4.991
0.3%
3.931
0.3%
2.831
0.3%
2.331
0.3%
2.151
0.3%

国债-合计.64
Real number (ℝ)

ZEROS

Distinct202
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1837172775
Minimum-6.56
Maximum16.72
Zeros86
Zeros (%)22.5%
Negative143
Negative (%)37.4%
Memory size3.1 KiB
2022-03-24T10:34:20.700028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.56
5-th percentile-2.2395
Q1-0.4175
median0
Q30.5875
95-th percentile3.316
Maximum16.72
Range23.28
Interquartile range (IQR)1.005

Descriptive statistics

Standard deviation1.908077402
Coefficient of variation (CV)10.38594425
Kurtosis17.05485614
Mean0.1837172775
Median Absolute Deviation (MAD)0.49
Skewness1.970483287
Sum70.18
Variance3.640759374
MonotonicityNot monotonic
2022-03-24T10:34:20.748101image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
086
 
22.5%
-0.111
 
2.9%
0.19
 
2.4%
-0.29
 
2.4%
0.317
 
1.8%
0.686
 
1.6%
-0.316
 
1.6%
0.26
 
1.6%
0.215
 
1.3%
-0.515
 
1.3%
Other values (192)232
60.7%
ValueCountFrequency (%)
-6.561
0.3%
-6.461
0.3%
-5.961
0.3%
-5.591
0.3%
-5.441
0.3%
ValueCountFrequency (%)
16.721
0.3%
7.991
0.3%
7.151
0.3%
6.171
0.3%
5.951
0.3%

国债-合计.67
Real number (ℝ)

ZEROS

Distinct155
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04185863874
Minimum-9.62
Maximum9.13
Zeros160
Zeros (%)41.9%
Negative114
Negative (%)29.8%
Memory size3.1 KiB
2022-03-24T10:34:20.798794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.62
5-th percentile-2.033
Q1-0.1975
median0
Q30.1
95-th percentile2.1785
Maximum9.13
Range18.75
Interquartile range (IQR)0.2975

Descriptive statistics

Standard deviation1.65549176
Coefficient of variation (CV)39.54958426
Kurtosis12.34212365
Mean0.04185863874
Median Absolute Deviation (MAD)0.11
Skewness0.6362530611
Sum15.99
Variance2.740652967
MonotonicityNot monotonic
2022-03-24T10:34:20.849086image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160
41.9%
-0.111
 
2.9%
0.110
 
2.6%
-0.27
 
1.8%
0.316
 
1.6%
-0.476
 
1.6%
0.24
 
1.0%
0.214
 
1.0%
0.094
 
1.0%
-0.484
 
1.0%
Other values (145)166
43.5%
ValueCountFrequency (%)
-9.621
0.3%
-7.671
0.3%
-5.781
0.3%
-5.691
0.3%
-5.221
0.3%
ValueCountFrequency (%)
9.131
0.3%
9.091
0.3%
7.781
0.3%
6.991
0.3%
6.481
0.3%

国债-合计.68
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003141361257
Minimum-0.89
Maximum1
Zeros354
Zeros (%)92.7%
Negative13
Negative (%)3.4%
Memory size3.1 KiB
2022-03-24T10:34:20.892815image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.89
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0997823138
Coefficient of variation (CV)31.76403656
Kurtosis58.75735252
Mean0.003141361257
Median Absolute Deviation (MAD)0
Skewness2.366625639
Sum1.2
Variance0.009956510148
MonotonicityNot monotonic
2022-03-24T10:34:20.927494image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0354
92.7%
0.15
 
1.3%
-0.24
 
1.0%
-0.14
 
1.0%
0.33
 
0.8%
0.23
 
0.8%
-0.32
 
0.5%
11
 
0.3%
0.191
 
0.3%
0.861
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-0.891
 
0.3%
-0.471
 
0.3%
-0.32
0.5%
-0.24
1.0%
-0.111
 
0.3%
ValueCountFrequency (%)
11
 
0.3%
0.861
 
0.3%
0.421
 
0.3%
0.33
0.8%
0.23
0.8%

国债-合计.69
Real number (ℝ)

ZEROS

Distinct320
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.16539267
Minimum-9.93
Maximum36.79
Zeros18
Zeros (%)4.7%
Negative153
Negative (%)40.1%
Memory size3.1 KiB
2022-03-24T10:34:20.971233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.93
5-th percentile-3.9915
Q1-0.6975
median0.295
Q32.7825
95-th percentile7.727
Maximum36.79
Range46.72
Interquartile range (IQR)3.48

Descriptive statistics

Standard deviation4.041665573
Coefficient of variation (CV)3.468071901
Kurtosis16.82334151
Mean1.16539267
Median Absolute Deviation (MAD)1.66
Skewness2.400832535
Sum445.18
Variance16.33506061
MonotonicityNot monotonic
2022-03-24T10:34:21.017371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.16
 
1.6%
-0.25
 
1.3%
0.54
 
1.0%
-0.383
 
0.8%
0.513
 
0.8%
0.413
 
0.8%
-0.773
 
0.8%
0.22
 
0.5%
1.192
 
0.5%
Other values (310)333
87.2%
ValueCountFrequency (%)
-9.931
0.3%
-8.791
0.3%
-8.511
0.3%
-8.351
0.3%
-81
0.3%
ValueCountFrequency (%)
36.791
0.3%
18.721
0.3%
15.451
0.3%
15.271
0.3%
12.911
0.3%

国债-合计.70
Real number (ℝ)

ZEROS

Distinct358
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10.82787958
Minimum-120.33
Maximum70.28
Zeros14
Zeros (%)3.7%
Negative300
Negative (%)78.5%
Memory size3.1 KiB
2022-03-24T10:34:21.063821image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-120.33
5-th percentile-41.8625
Q1-18.075
median-9.36
Q3-0.9825
95-th percentile16.114
Maximum70.28
Range190.61
Interquartile range (IQR)17.0925

Descriptive statistics

Standard deviation19.14222241
Coefficient of variation (CV)-1.76786436
Kurtosis5.41778308
Mean-10.82787958
Median Absolute Deviation (MAD)8.475
Skewness-0.5748070728
Sum-4136.25
Variance366.4246787
MonotonicityNot monotonic
2022-03-24T10:34:21.110274image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-10.032
 
0.5%
-132
 
0.5%
-7.282
 
0.5%
-14.282
 
0.5%
-24.532
 
0.5%
-9.772
 
0.5%
-6.92
 
0.5%
-9.022
 
0.5%
-9.682
 
0.5%
Other values (348)350
91.6%
ValueCountFrequency (%)
-120.331
0.3%
-86.091
0.3%
-81.541
0.3%
-68.241
0.3%
-66.421
0.3%
ValueCountFrequency (%)
70.281
0.3%
63.831
0.3%
53.141
0.3%
44.441
0.3%
36.511
0.3%

国债-合计.71
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.611439791
Minimum-61.61
Maximum71.74
Zeros13
Zeros (%)3.4%
Negative252
Negative (%)66.0%
Memory size3.1 KiB
2022-03-24T10:34:21.161140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.61
5-th percentile-29.604
Q1-12.5625
median-4.14
Q32.08
95-th percentile22.3415
Maximum71.74
Range133.35
Interquartile range (IQR)14.6425

Descriptive statistics

Standard deviation16.91474983
Coefficient of variation (CV)-3.667997546
Kurtosis3.923818347
Mean-4.611439791
Median Absolute Deviation (MAD)7.27
Skewness0.6281338563
Sum-1761.57
Variance286.108762
MonotonicityNot monotonic
2022-03-24T10:34:21.208995image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-1.593
 
0.8%
-10.123
 
0.8%
4.342
 
0.5%
-15.282
 
0.5%
-6.192
 
0.5%
-4.52
 
0.5%
-1.792
 
0.5%
-7.592
 
0.5%
0.012
 
0.5%
Other values (345)349
91.4%
ValueCountFrequency (%)
-61.611
0.3%
-56.941
0.3%
-55.731
0.3%
-52.611
0.3%
-51.21
0.3%
ValueCountFrequency (%)
71.741
0.3%
70.71
0.3%
68.281
0.3%
55.051
0.3%
50.091
0.3%

国债-合计.72
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.440575916
Minimum-90.66
Maximum50.76
Zeros11
Zeros (%)2.9%
Negative213
Negative (%)55.8%
Memory size3.1 KiB
2022-03-24T10:34:21.255889image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-90.66
5-th percentile-21.8945
Q1-8.16
median-1.35
Q33.9
95-th percentile16.625
Maximum50.76
Range141.42
Interquartile range (IQR)12.06

Descriptive statistics

Standard deviation13.68420482
Coefficient of variation (CV)-5.606957248
Kurtosis7.328117988
Mean-2.440575916
Median Absolute Deviation (MAD)5.885
Skewness-1.108296088
Sum-932.3
Variance187.2574616
MonotonicityNot monotonic
2022-03-24T10:34:21.302182image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-1.692
 
0.5%
-1.42
 
0.5%
-3.842
 
0.5%
-6.792
 
0.5%
-14.642
 
0.5%
-19.492
 
0.5%
-4.112
 
0.5%
-4.022
 
0.5%
11.32
 
0.5%
Other values (350)353
92.4%
ValueCountFrequency (%)
-90.661
0.3%
-66.711
0.3%
-61.231
0.3%
-50.11
0.3%
-47.481
0.3%
ValueCountFrequency (%)
50.761
0.3%
40.921
0.3%
39.381
0.3%
35.431
0.3%
32.141
0.3%

国债-合计.73
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.953691099
Minimum-58.16
Maximum28.77
Zeros12
Zeros (%)3.1%
Negative230
Negative (%)60.2%
Memory size3.1 KiB
2022-03-24T10:34:21.350976image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-58.16
5-th percentile-16.6545
Q1-5.835
median-1.395
Q31.9025
95-th percentile12.976
Maximum28.77
Range86.93
Interquartile range (IQR)7.7375

Descriptive statistics

Standard deviation9.173181712
Coefficient of variation (CV)-4.695308135
Kurtosis5.56042861
Mean-1.953691099
Median Absolute Deviation (MAD)3.88
Skewness-0.9161753284
Sum-746.31
Variance84.14726272
MonotonicityNot monotonic
2022-03-24T10:34:21.396734image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-3.853
 
0.8%
-9.472
 
0.5%
-1.632
 
0.5%
2.262
 
0.5%
-1.62
 
0.5%
0.122
 
0.5%
-0.552
 
0.5%
8.72
 
0.5%
-5.822
 
0.5%
Other values (343)351
91.9%
ValueCountFrequency (%)
-58.161
0.3%
-39.241
0.3%
-36.651
0.3%
-33.991
0.3%
-29.751
0.3%
ValueCountFrequency (%)
28.771
0.3%
25.951
0.3%
21.951
0.3%
20.921
0.3%
20.861
0.3%

国债-合计.74
Real number (ℝ)

ZEROS

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.026439791
Minimum-76.4
Maximum47.09
Zeros11
Zeros (%)2.9%
Negative228
Negative (%)59.7%
Memory size3.1 KiB
2022-03-24T10:34:21.443715image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-76.4
5-th percentile-34.678
Q1-10.1975
median-2.14
Q33.3975
95-th percentile16.0995
Maximum47.09
Range123.49
Interquartile range (IQR)13.595

Descriptive statistics

Standard deviation16.40140983
Coefficient of variation (CV)-3.263027215
Kurtosis3.743403242
Mean-5.026439791
Median Absolute Deviation (MAD)6.975
Skewness-1.237203479
Sum-1920.1
Variance269.0062445
MonotonicityNot monotonic
2022-03-24T10:34:21.492288image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-1.123
 
0.8%
-14.632
 
0.5%
0.762
 
0.5%
5.672
 
0.5%
-1.792
 
0.5%
0.662
 
0.5%
-2.492
 
0.5%
19.642
 
0.5%
-4.082
 
0.5%
Other values (349)352
92.1%
ValueCountFrequency (%)
-76.41
0.3%
-75.91
0.3%
-68.881
0.3%
-68.421
0.3%
-61.741
0.3%
ValueCountFrequency (%)
47.091
0.3%
36.811
0.3%
31.121
0.3%
30.611
0.3%
30.251
0.3%

国债-合计.75
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03321989529
Minimum-9.25
Maximum2.23
Zeros359
Zeros (%)94.0%
Negative12
Negative (%)3.1%
Memory size3.1 KiB
2022-03-24T10:34:21.533042image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.25
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.23
Range11.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6511442372
Coefficient of variation (CV)-19.6010322
Kurtosis115.530075
Mean-0.03321989529
Median Absolute Deviation (MAD)0
Skewness-8.720894792
Sum-12.69
Variance0.4239888177
MonotonicityNot monotonic
2022-03-24T10:34:21.570735image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0359
94.0%
2.232
 
0.5%
0.222
 
0.5%
1.521
 
0.3%
-4.511
 
0.3%
-0.461
 
0.3%
-2.961
 
0.3%
-9.251
 
0.3%
-0.581
 
0.3%
-1.061
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-9.251
0.3%
-4.511
0.3%
-3.691
0.3%
-2.961
0.3%
-1.961
0.3%
ValueCountFrequency (%)
2.232
0.5%
2.171
0.3%
1.721
0.3%
1.521
0.3%
1.251
0.3%

国债-合计.76
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00219895288
Minimum-2.65
Maximum2.22
Zeros360
Zeros (%)94.2%
Negative13
Negative (%)3.4%
Memory size3.1 KiB
2022-03-24T10:34:21.608595image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.65
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.22
Range4.87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2284051339
Coefficient of variation (CV)-103.8699538
Kurtosis83.45229741
Mean-0.00219895288
Median Absolute Deviation (MAD)0
Skewness-0.5242861255
Sum-0.84
Variance0.0521689052
MonotonicityNot monotonic
2022-03-24T10:34:21.646343image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0360
94.2%
0.522
 
0.5%
-0.421
 
0.3%
-2.651
 
0.3%
-0.331
 
0.3%
-0.431
 
0.3%
-0.111
 
0.3%
0.451
 
0.3%
-0.171
 
0.3%
0.11
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-2.651
0.3%
-1.041
0.3%
-0.71
0.3%
-0.631
0.3%
-0.571
0.3%
ValueCountFrequency (%)
2.221
0.3%
1.881
0.3%
0.651
0.3%
0.522
0.5%
0.451
0.3%

国债-合计.77
Real number (ℝ)

ZEROS

Distinct312
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.84026178
Minimum-61.3
Maximum14.01
Zeros16
Zeros (%)4.2%
Negative247
Negative (%)64.7%
Memory size3.1 KiB
2022-03-24T10:34:21.691311image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.3
5-th percentile-8.8665
Q1-3.0825
median-0.87
Q30.5875
95-th percentile4.0305
Maximum14.01
Range75.31
Interquartile range (IQR)3.67

Descriptive statistics

Standard deviation6.025470124
Coefficient of variation (CV)-3.274246191
Kurtosis31.84728165
Mean-1.84026178
Median Absolute Deviation (MAD)1.8
Skewness-4.234568207
Sum-702.98
Variance36.30629022
MonotonicityNot monotonic
2022-03-24T10:34:21.737970image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016
 
4.2%
-0.313
 
0.8%
-1.313
 
0.8%
-1.623
 
0.8%
-0.013
 
0.8%
-0.513
 
0.8%
0.13
 
0.8%
-2.193
 
0.8%
-0.22
 
0.5%
-0.362
 
0.5%
Other values (302)341
89.3%
ValueCountFrequency (%)
-61.31
0.3%
-41.211
0.3%
-28.261
0.3%
-26.721
0.3%
-26.071
0.3%
ValueCountFrequency (%)
14.011
0.3%
11.811
0.3%
10.871
0.3%
8.131
0.3%
7.671
0.3%

国债-合计.78
Real number (ℝ)

ZEROS

Distinct80
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6602879581
Minimum-61.05
Maximum2.41
Zeros239
Zeros (%)62.6%
Negative107
Negative (%)28.0%
Memory size3.1 KiB
2022-03-24T10:34:21.786355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.05
5-th percentile-1.567
Q1-0.1075
median0
Q30
95-th percentile0.31
Maximum2.41
Range63.46
Interquartile range (IQR)0.1075

Descriptive statistics

Standard deviation4.722701768
Coefficient of variation (CV)-7.152488108
Kurtosis120.1710861
Mean-0.6602879581
Median Absolute Deviation (MAD)0
Skewness-10.49074762
Sum-252.23
Variance22.30391199
MonotonicityNot monotonic
2022-03-24T10:34:21.832139image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0239
62.6%
-0.111
 
2.9%
-0.317
 
1.8%
-0.216
 
1.6%
-0.26
 
1.6%
0.55
 
1.3%
-0.415
 
1.3%
0.214
 
1.0%
-0.294
 
1.0%
-0.493
 
0.8%
Other values (70)92
 
24.1%
ValueCountFrequency (%)
-61.051
0.3%
-55.171
0.3%
-27.681
0.3%
-20.891
0.3%
-201
0.3%
ValueCountFrequency (%)
2.411
0.3%
2.081
0.3%
1.461
0.3%
1.131
0.3%
11
0.3%

国债-合计.79
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-27.39641361
Minimum-196.23
Maximum106.93
Zeros11
Zeros (%)2.9%
Negative294
Negative (%)77.0%
Memory size3.1 KiB
2022-03-24T10:34:21.880799image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-196.23
5-th percentile-92.656
Q1-54.5675
median-27.085
Q3-1.1925
95-th percentile36.96
Maximum106.93
Range303.16
Interquartile range (IQR)53.375

Descriptive statistics

Standard deviation40.49250465
Coefficient of variation (CV)-1.478022095
Kurtosis0.8995718211
Mean-27.39641361
Median Absolute Deviation (MAD)26.585
Skewness-0.03005465746
Sum-10465.43
Variance1639.642933
MonotonicityNot monotonic
2022-03-24T10:34:21.927192image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-8.462
 
0.5%
-35.642
 
0.5%
-37.562
 
0.5%
-14.072
 
0.5%
36.962
 
0.5%
57.551
 
0.3%
-0.591
 
0.3%
-0.191
 
0.3%
25.171
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-196.231
0.3%
-127.011
0.3%
-1261
0.3%
-124.871
0.3%
-117.881
0.3%
ValueCountFrequency (%)
106.931
0.3%
103.251
0.3%
89.411
0.3%
87.141
0.3%
86.651
0.3%

国债-合计.80
Real number (ℝ)

ZEROS

Distinct357
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.012748691
Minimum-74.33
Maximum88.32
Zeros13
Zeros (%)3.4%
Negative209
Negative (%)54.7%
Memory size3.1 KiB
2022-03-24T10:34:21.975237image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.33
5-th percentile-22.8355
Q1-7.13
median-0.89
Q33.855
95-th percentile19
Maximum88.32
Range162.65
Interquartile range (IQR)10.985

Descriptive statistics

Standard deviation15.61608615
Coefficient of variation (CV)-15.41950761
Kurtosis9.249357799
Mean-1.012748691
Median Absolute Deviation (MAD)5.45
Skewness1.24152053
Sum-386.87
Variance243.8621465
MonotonicityNot monotonic
2022-03-24T10:34:22.021454image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-1.722
 
0.5%
-3.132
 
0.5%
-0.532
 
0.5%
2.42
 
0.5%
-0.312
 
0.5%
-11.292
 
0.5%
2.432
 
0.5%
-0.982
 
0.5%
-4.22
 
0.5%
Other values (347)351
91.9%
ValueCountFrequency (%)
-74.331
0.3%
-47.661
0.3%
-46.031
0.3%
-44.661
0.3%
-42.61
0.3%
ValueCountFrequency (%)
88.321
0.3%
82.71
0.3%
82.691
0.3%
66.561
0.3%
57.191
0.3%

国债-合计.81
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7672774869
Minimum-91.01
Maximum167.6
Zeros13
Zeros (%)3.4%
Negative229
Negative (%)59.9%
Memory size3.1 KiB
2022-03-24T10:34:22.347996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-91.01
5-th percentile-34.706
Q1-12.925
median-3.11
Q34.3225
95-th percentile63.3585
Maximum167.6
Range258.61
Interquartile range (IQR)17.2475

Descriptive statistics

Standard deviation32.85287486
Coefficient of variation (CV)42.81746228
Kurtosis8.435912851
Mean0.7672774869
Median Absolute Deviation (MAD)8.49
Skewness2.331363871
Sum293.1
Variance1079.311386
MonotonicityNot monotonic
2022-03-24T10:34:22.396973image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-17.082
 
0.5%
2.182
 
0.5%
4.832
 
0.5%
3.342
 
0.5%
-4.892
 
0.5%
-1.742
 
0.5%
-3.42
 
0.5%
-29.312
 
0.5%
-60.011
 
0.3%
Other values (352)352
92.1%
ValueCountFrequency (%)
-91.011
0.3%
-69.271
0.3%
-64.991
0.3%
-62.241
0.3%
-60.011
0.3%
ValueCountFrequency (%)
167.61
0.3%
154.421
0.3%
154.241
0.3%
152.161
0.3%
146.111
0.3%

国债-合计.82
Real number (ℝ)

ZEROS

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9013350785
Minimum-56.44
Maximum231.71
Zeros13
Zeros (%)3.4%
Negative249
Negative (%)65.2%
Memory size3.1 KiB
2022-03-24T10:34:22.444959image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.44
5-th percentile-25.1285
Q1-12.1975
median-4.315
Q32.3075
95-th percentile23.2765
Maximum231.71
Range288.15
Interquartile range (IQR)14.505

Descriptive statistics

Standard deviation28.13763593
Coefficient of variation (CV)-31.2177309
Kurtosis26.88695497
Mean-0.9013350785
Median Absolute Deviation (MAD)7.5
Skewness4.479544306
Sum-344.31
Variance791.726556
MonotonicityNot monotonic
2022-03-24T10:34:22.488014image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-14.282
 
0.5%
-3.962
 
0.5%
-17.92
 
0.5%
-10.542
 
0.5%
-2.472
 
0.5%
-6.242
 
0.5%
-19.672
 
0.5%
-4.882
 
0.5%
4.622
 
0.5%
Other values (349)351
91.9%
ValueCountFrequency (%)
-56.441
0.3%
-45.151
0.3%
-45.051
0.3%
-43.781
0.3%
-40.781
0.3%
ValueCountFrequency (%)
231.711
0.3%
169.471
0.3%
169.291
0.3%
167.051
0.3%
163.771
0.3%

国债-合计.83
Real number (ℝ)

ZEROS

Distinct350
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.245418848
Minimum-48.2
Maximum191.32
Zeros13
Zeros (%)3.4%
Negative269
Negative (%)70.4%
Memory size3.1 KiB
2022-03-24T10:34:22.534786image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-48.2
5-th percentile-19.426
Q1-10.14
median-3.785
Q30.3975
95-th percentile18.6685
Maximum191.32
Range239.52
Interquartile range (IQR)10.5375

Descriptive statistics

Standard deviation23.29972859
Coefficient of variation (CV)-18.7083475
Kurtosis32.19014683
Mean-1.245418848
Median Absolute Deviation (MAD)5.56
Skewness4.9699111
Sum-475.75
Variance542.8773524
MonotonicityNot monotonic
2022-03-24T10:34:22.582584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-3.024
 
1.0%
-8.573
 
0.8%
-8.772
 
0.5%
-11.112
 
0.5%
-2.552
 
0.5%
-2.442
 
0.5%
-2.972
 
0.5%
-1.632
 
0.5%
2.062
 
0.5%
Other values (340)348
91.1%
ValueCountFrequency (%)
-48.21
0.3%
-47.131
0.3%
-34.251
0.3%
-31.531
0.3%
-30.091
0.3%
ValueCountFrequency (%)
191.321
0.3%
184.411
0.3%
154.391
0.3%
126.641
0.3%
108.781
0.3%

国债-合计.84
Real number (ℝ)

ZEROS

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.034764398
Minimum-60.64
Maximum198.98
Zeros13
Zeros (%)3.4%
Negative247
Negative (%)64.7%
Memory size3.1 KiB
2022-03-24T10:34:22.629643image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-60.64
5-th percentile-34.3755
Q1-16.54
median-5.11
Q33.7575
95-th percentile33.9745
Maximum198.98
Range259.62
Interquartile range (IQR)20.2975

Descriptive statistics

Standard deviation28.13099809
Coefficient of variation (CV)-9.269582214
Kurtosis20.18402736
Mean-3.034764398
Median Absolute Deviation (MAD)9.93
Skewness3.51441797
Sum-1159.28
Variance791.3530534
MonotonicityNot monotonic
2022-03-24T10:34:22.677649image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-16.642
 
0.5%
-20.292
 
0.5%
-5.852
 
0.5%
-1.112
 
0.5%
-52
 
0.5%
2.061
 
0.3%
161.751
 
0.3%
-13.321
 
0.3%
-18.391
 
0.3%
Other values (355)355
92.9%
ValueCountFrequency (%)
-60.641
0.3%
-52.551
0.3%
-51.471
0.3%
-47.711
0.3%
-46.841
0.3%
ValueCountFrequency (%)
198.981
0.3%
186.421
0.3%
179.671
0.3%
161.751
0.3%
122.991
0.3%

国债-合计.85
Real number (ℝ)

ZEROS

Distinct52
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04316753927
Minimum-3.34
Maximum7.35
Zeros322
Zeros (%)84.3%
Negative27
Negative (%)7.1%
Memory size3.1 KiB
2022-03-24T10:34:22.726348image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.34
5-th percentile-0.334
Q10
median0
Q30
95-th percentile0.3255
Maximum7.35
Range10.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6913288723
Coefficient of variation (CV)16.01501693
Kurtosis44.95872507
Mean0.04316753927
Median Absolute Deviation (MAD)0
Skewness4.263816608
Sum16.49
Variance0.4779356097
MonotonicityNot monotonic
2022-03-24T10:34:22.773497image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0322
84.3%
0.214
 
1.0%
0.222
 
0.5%
-0.012
 
0.5%
2.732
 
0.5%
0.112
 
0.5%
-0.492
 
0.5%
-0.462
 
0.5%
1.961
 
0.3%
-0.691
 
0.3%
Other values (42)42
 
11.0%
ValueCountFrequency (%)
-3.341
0.3%
-3.251
0.3%
-2.231
0.3%
-2.171
0.3%
-1.991
0.3%
ValueCountFrequency (%)
7.351
0.3%
4.511
0.3%
3.691
0.3%
3.331
0.3%
3.251
0.3%

国债-合计.86
Real number (ℝ)

ZEROS

Distinct39
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008979057592
Minimum-2.72
Maximum2.72
Zeros331
Zeros (%)86.6%
Negative24
Negative (%)6.3%
Memory size3.1 KiB
2022-03-24T10:34:22.817472image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile-0.109
Q10
median0
Q30
95-th percentile0.3055
Maximum2.72
Range5.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.260413067
Coefficient of variation (CV)29.0022716
Kurtosis64.06433251
Mean0.008979057592
Median Absolute Deviation (MAD)0
Skewness0.1065982884
Sum3.43
Variance0.06781496544
MonotonicityNot monotonic
2022-03-24T10:34:22.860401image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0331
86.6%
-0.113
 
0.8%
-0.053
 
0.8%
-0.223
 
0.8%
-0.572
 
0.5%
-0.212
 
0.5%
0.552
 
0.5%
0.312
 
0.5%
-0.552
 
0.5%
0.012
 
0.5%
Other values (29)30
 
7.9%
ValueCountFrequency (%)
-2.721
0.3%
-1.191
0.3%
-0.641
0.3%
-0.572
0.5%
-0.552
0.5%
ValueCountFrequency (%)
2.721
0.3%
1.061
0.3%
0.871
0.3%
0.771
0.3%
0.71
0.3%

国债-合计.87
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.131439791
Minimum-40.64
Maximum96.11
Zeros13
Zeros (%)3.4%
Negative247
Negative (%)64.7%
Memory size3.1 KiB
2022-03-24T10:34:22.905675image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-40.64
5-th percentile-17.5825
Q1-7.695
median-2.955
Q31.85
95-th percentile11.282
Maximum96.11
Range136.75
Interquartile range (IQR)9.545

Descriptive statistics

Standard deviation12.84116454
Coefficient of variation (CV)-6.024643342
Kurtosis18.62810304
Mean-2.131439791
Median Absolute Deviation (MAD)4.75
Skewness2.987278385
Sum-814.21
Variance164.8955068
MonotonicityNot monotonic
2022-03-24T10:34:22.950925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-13.342
 
0.5%
-2.592
 
0.5%
-5.592
 
0.5%
1.732
 
0.5%
-4.932
 
0.5%
-2.852
 
0.5%
-4.092
 
0.5%
-9.532
 
0.5%
2.482
 
0.5%
Other values (346)351
91.9%
ValueCountFrequency (%)
-40.641
0.3%
-31.581
0.3%
-29.211
0.3%
-27.431
0.3%
-26.721
0.3%
ValueCountFrequency (%)
96.111
0.3%
85.321
0.3%
72.121
0.3%
57.11
0.3%
46.951
0.3%

国债-合计.88
Real number (ℝ)

ZEROS

Distinct248
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02468586387
Minimum-14.43
Maximum130.7
Zeros47
Zeros (%)12.3%
Negative223
Negative (%)58.4%
Memory size3.1 KiB
2022-03-24T10:34:23.002104image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-14.43
5-th percentile-4.0725
Q1-0.9975
median-0.215
Q30.1175
95-th percentile2.3065
Maximum130.7
Range145.13
Interquartile range (IQR)1.115

Descriptive statistics

Standard deviation7.443198645
Coefficient of variation (CV)301.5166365
Kurtosis252.1417301
Mean0.02468586387
Median Absolute Deviation (MAD)0.535
Skewness14.61354187
Sum9.43
Variance55.40120607
MonotonicityNot monotonic
2022-03-24T10:34:23.048103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047
 
12.3%
-0.19
 
2.4%
-0.88
 
2.1%
0.16
 
1.6%
-0.495
 
1.3%
-0.234
 
1.0%
-0.514
 
1.0%
-0.43
 
0.8%
-0.113
 
0.8%
-0.563
 
0.8%
Other values (238)290
75.9%
ValueCountFrequency (%)
-14.431
0.3%
-12.341
0.3%
-11.591
0.3%
-8.781
0.3%
-7.851
0.3%
ValueCountFrequency (%)
130.71
0.3%
36.991
0.3%
16.011
0.3%
13.241
0.3%
12.541
0.3%

国债-合计.89
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.48104712
Minimum-172.09
Maximum345.25
Zeros13
Zeros (%)3.4%
Negative241
Negative (%)63.1%
Memory size3.1 KiB
2022-03-24T10:34:23.095904image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-172.09
5-th percentile-99.6565
Q1-51.965
median-17.875
Q314.87
95-th percentile143.362
Maximum345.25
Range517.34
Interquartile range (IQR)66.835

Descriptive statistics

Standard deviation77.51429004
Coefficient of variation (CV)-10.36142251
Kurtosis4.66146393
Mean-7.48104712
Median Absolute Deviation (MAD)33.41
Skewness1.748831279
Sum-2857.76
Variance6008.465161
MonotonicityNot monotonic
2022-03-24T10:34:23.144604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-15.252
 
0.5%
-24.421
 
0.3%
14.421
 
0.3%
-67.041
 
0.3%
-61.811
 
0.3%
-44.031
 
0.3%
-101.971
 
0.3%
70.461
 
0.3%
-75.991
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-172.091
0.3%
-161.81
0.3%
-133.751
0.3%
-132.151
0.3%
-129.781
0.3%
ValueCountFrequency (%)
345.251
0.3%
336.611
0.3%
290.461
0.3%
287.381
0.3%
283.751
0.3%

国债-新债
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002068062827
Minimum0
Maximum0.69
Zeros380
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:23.183950image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.69
Range0.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03565900881
Coefficient of variation (CV)17.24271059
Kurtosis366.4618278
Mean0.002068062827
Median Absolute Deviation (MAD)0
Skewness18.99896942
Sum0.79
Variance0.001271564909
MonotonicityNot monotonic
2022-03-24T10:34:23.215442image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
0.11
 
0.3%
0.691
 
0.3%
ValueCountFrequency (%)
0380
99.5%
0.11
 
0.3%
0.691
 
0.3%
ValueCountFrequency (%)
0.691
 
0.3%
0.11
 
0.3%
0380
99.5%

国债-新债.1
Real number (ℝ)

ZEROS

Distinct33
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1087172775
Minimum-1.51
Maximum4.53
Zeros324
Zeros (%)84.8%
Negative15
Negative (%)3.9%
Memory size3.1 KiB
2022-03-24T10:34:23.256289image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4.53
Range6.04
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5246512939
Coefficient of variation (CV)4.825831791
Kurtosis27.21315754
Mean0.1087172775
Median Absolute Deviation (MAD)0
Skewness4.53901825
Sum41.53
Variance0.2752589802
MonotonicityNot monotonic
2022-03-24T10:34:23.296484image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0324
84.8%
-0.57
 
1.8%
0.57
 
1.8%
0.33
 
0.8%
13
 
0.8%
0.13
 
0.8%
1.013
 
0.8%
0.62
 
0.5%
-0.12
 
0.5%
1.22
 
0.5%
Other values (23)26
 
6.8%
ValueCountFrequency (%)
-1.511
 
0.3%
-1.111
 
0.3%
-11
 
0.3%
-0.57
1.8%
-0.41
 
0.3%
ValueCountFrequency (%)
4.531
0.3%
3.81
0.3%
3.021
0.3%
2.821
0.3%
2.621
0.3%

国债-新债.2
Real number (ℝ)

ZEROS

Distinct73
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1184293194
Minimum-4.95
Maximum6.77
Zeros265
Zeros (%)69.4%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:34:23.341340image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.95
5-th percentile-0.905
Q10
median0
Q30
95-th percentile1.5195
Maximum6.77
Range11.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9577207435
Coefficient of variation (CV)8.086855084
Kurtosis19.23921418
Mean0.1184293194
Median Absolute Deviation (MAD)0
Skewness2.318852254
Sum45.24
Variance0.9172290226
MonotonicityNot monotonic
2022-03-24T10:34:23.388823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0265
69.4%
0.111
 
2.9%
-0.26
 
1.6%
0.25
 
1.3%
-1.014
 
1.0%
0.34
 
1.0%
-0.44
 
1.0%
-0.14
 
1.0%
0.513
 
0.8%
0.43
 
0.8%
Other values (63)73
 
19.1%
ValueCountFrequency (%)
-4.951
0.3%
-3.641
0.3%
-2.831
0.3%
-2.521
0.3%
-2.221
0.3%
ValueCountFrequency (%)
6.771
0.3%
6.671
0.3%
5.671
0.3%
5.051
0.3%
3.691
0.3%

国债-新债.3
Real number (ℝ)

ZEROS

Distinct47
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1217801047
Minimum-3.03
Maximum5.56
Zeros318
Zeros (%)83.2%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:34:23.436437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.03
5-th percentile0
Q10
median0
Q30
95-th percentile1.0485
Maximum5.56
Range8.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7443547639
Coefficient of variation (CV)6.112285464
Kurtosis21.98872854
Mean0.1217801047
Median Absolute Deviation (MAD)0
Skewness3.49941016
Sum46.52
Variance0.5540640145
MonotonicityNot monotonic
2022-03-24T10:34:23.479440image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0318
83.2%
-0.516
 
1.6%
0.43
 
0.8%
0.513
 
0.8%
0.33
 
0.8%
0.422
 
0.5%
0.412
 
0.5%
1.012
 
0.5%
-2.022
 
0.5%
-0.522
 
0.5%
Other values (37)39
 
10.2%
ValueCountFrequency (%)
-3.031
0.3%
-2.041
0.3%
-2.022
0.5%
-1.831
0.3%
-1.231
0.3%
ValueCountFrequency (%)
5.561
0.3%
5.241
0.3%
51
0.3%
3.61
0.3%
3.191
0.3%

国债-新债.4
Real number (ℝ)

ZEROS

Distinct142
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1713089005
Minimum-15.46
Maximum30.91
Zeros169
Zeros (%)44.2%
Negative94
Negative (%)24.6%
Memory size3.1 KiB
2022-03-24T10:34:23.524776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.46
5-th percentile-2.0855
Q10
median0
Q30.21
95-th percentile2.9355
Maximum30.91
Range46.37
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation2.7223599
Coefficient of variation (CV)15.89152631
Kurtosis48.48825661
Mean0.1713089005
Median Absolute Deviation (MAD)0.2
Skewness2.993798332
Sum65.44
Variance7.411243427
MonotonicityNot monotonic
2022-03-24T10:34:23.571592image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169
44.2%
0.27
 
1.8%
-0.217
 
1.8%
0.216
 
1.6%
0.116
 
1.6%
-0.25
 
1.3%
-0.35
 
1.3%
-0.14
 
1.0%
-0.314
 
1.0%
0.14
 
1.0%
Other values (132)165
43.2%
ValueCountFrequency (%)
-15.461
0.3%
-12.871
0.3%
-11.571
0.3%
-9.271
0.3%
-8.861
0.3%
ValueCountFrequency (%)
30.911
0.3%
8.761
0.3%
8.661
0.3%
8.481
0.3%
8.241
0.3%

国债-新债.5
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0002617801047
Minimum-0.1
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:23.609015image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005116445101
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.0002617801047
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.1
Variance2.617801047 × 10-5
MonotonicityNot monotonic
2022-03-24T10:34:23.643799image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.11
 
0.3%
ValueCountFrequency (%)
-0.11
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.11
 
0.3%

国债-新债.6
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.000890052356
Minimum-0.34
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:23.675935image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.34
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01739591334
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.000890052356
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.34
Variance0.000302617801
MonotonicityNot monotonic
2022-03-24T10:34:23.709230image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.341
 
0.3%
ValueCountFrequency (%)
-0.341
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.341
 
0.3%

国债-新债.7
Real number (ℝ)

ZEROS

Distinct194
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9280628272
Minimum-19.19
Maximum31.8
Zeros97
Zeros (%)25.4%
Negative81
Negative (%)21.2%
Memory size3.1 KiB
2022-03-24T10:34:23.755667image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-19.19
5-th percentile-1.487
Q10
median0.105
Q31.135
95-th percentile6.117
Maximum31.8
Range50.99
Interquartile range (IQR)1.135

Descriptive statistics

Standard deviation3.531057171
Coefficient of variation (CV)3.804760914
Kurtosis33.70544169
Mean0.9280628272
Median Absolute Deviation (MAD)0.365
Skewness3.795456521
Sum354.52
Variance12.46836474
MonotonicityNot monotonic
2022-03-24T10:34:23.804796image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
097
25.4%
0.213
 
3.4%
0.112
 
3.1%
-0.111
 
2.9%
0.295
 
1.3%
-0.25
 
1.3%
0.515
 
1.3%
0.315
 
1.3%
0.914
 
1.0%
0.194
 
1.0%
Other values (184)221
57.9%
ValueCountFrequency (%)
-19.191
0.3%
-8.951
0.3%
-7.751
0.3%
-71
0.3%
-4.391
0.3%
ValueCountFrequency (%)
31.81
0.3%
30.571
0.3%
21.371
0.3%
13.971
0.3%
13.571
0.3%

国债-新债.8
Real number (ℝ)

ZEROS

Distinct129
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.013167539
Minimum-5.27
Maximum72.25
Zeros156
Zeros (%)40.8%
Negative34
Negative (%)8.9%
Memory size3.1 KiB
2022-03-24T10:34:23.855752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.27
5-th percentile-0.57
Q10
median0.095
Q30.67
95-th percentile2.48
Maximum72.25
Range77.52
Interquartile range (IQR)0.67

Descriptive statistics

Standard deviation5.691112855
Coefficient of variation (CV)5.617148827
Kurtosis117.5750807
Mean1.013167539
Median Absolute Deviation (MAD)0.125
Skewness10.35363027
Sum387.03
Variance32.38876553
MonotonicityNot monotonic
2022-03-24T10:34:23.901839image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0156
40.8%
0.111
 
2.9%
0.29
 
2.4%
0.39
 
2.4%
0.497
 
1.8%
0.486
 
1.6%
0.196
 
1.6%
0.295
 
1.3%
0.75
 
1.3%
0.225
 
1.3%
Other values (119)163
42.7%
ValueCountFrequency (%)
-5.271
0.3%
-2.91
0.3%
-2.31
0.3%
-2.071
0.3%
-21
0.3%
ValueCountFrequency (%)
72.251
0.3%
67.51
0.3%
35.081
0.3%
30.771
0.3%
10.431
0.3%

国债-新债.9
Real number (ℝ)

ZEROS

Distinct273
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.461937173
Minimum-27.37
Maximum85.6
Zeros30
Zeros (%)7.9%
Negative86
Negative (%)22.5%
Memory size3.1 KiB
2022-03-24T10:34:23.955057image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.37
5-th percentile-2.48
Q10
median0.87
Q32.99
95-th percentile11.277
Maximum85.6
Range112.97
Interquartile range (IQR)2.99

Descriptive statistics

Standard deviation7.857917212
Coefficient of variation (CV)3.191761877
Kurtosis50.27044159
Mean2.461937173
Median Absolute Deviation (MAD)1.26
Skewness5.586811718
Sum940.46
Variance61.7468629
MonotonicityNot monotonic
2022-03-24T10:34:24.002398image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030
 
7.9%
0.17
 
1.8%
0.695
 
1.3%
0.64
 
1.0%
0.594
 
1.0%
0.114
 
1.0%
-0.14
 
1.0%
-0.213
 
0.8%
0.493
 
0.8%
1.63
 
0.8%
Other values (263)315
82.5%
ValueCountFrequency (%)
-27.371
0.3%
-16.121
0.3%
-13.141
0.3%
-10.211
0.3%
-8.271
0.3%
ValueCountFrequency (%)
85.61
0.3%
71.411
0.3%
37.391
0.3%
35.081
0.3%
31.451
0.3%

国债-新债.10
Real number (ℝ)

ZEROS

Distinct98
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4877225131
Minimum-29.73
Maximum37.88
Zeros194
Zeros (%)50.8%
Negative62
Negative (%)16.2%
Memory size3.1 KiB
2022-03-24T10:34:24.051515image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.73
5-th percentile-1.4855
Q10
median0
Q30.5
95-th percentile4.18
Maximum37.88
Range67.61
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.162078339
Coefficient of variation (CV)6.483355297
Kurtosis73.27099223
Mean0.4877225131
Median Absolute Deviation (MAD)0
Skewness2.545912138
Sum186.31
Variance9.998739419
MonotonicityNot monotonic
2022-03-24T10:34:24.098085image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0194
50.8%
0.514
 
3.7%
0.210
 
2.6%
0.38
 
2.1%
18
 
2.1%
-0.27
 
1.8%
-0.37
 
1.8%
-0.55
 
1.3%
0.64
 
1.0%
1.494
 
1.0%
Other values (88)121
31.7%
ValueCountFrequency (%)
-29.731
0.3%
-6.41
0.3%
-6.071
0.3%
-5.381
0.3%
-5.081
0.3%
ValueCountFrequency (%)
37.881
0.3%
11.841
0.3%
10.351
0.3%
9.861
0.3%
9.751
0.3%

国债-新债.11
Real number (ℝ)

ZEROS

Distinct153
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.192382199
Minimum-34.53
Maximum10.26
Zeros77
Zeros (%)20.2%
Negative124
Negative (%)32.5%
Memory size3.1 KiB
2022-03-24T10:34:24.149765image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-34.53
5-th percentile-3.1995
Q1-0.5
median0
Q30.975
95-th percentile3.243
Maximum10.26
Range44.79
Interquartile range (IQR)1.475

Descriptive statistics

Standard deviation3.874963223
Coefficient of variation (CV)-20.14200505
Kurtosis30.79064249
Mean-0.192382199
Median Absolute Deviation (MAD)0.7
Skewness-4.344090243
Sum-73.49
Variance15.01533998
MonotonicityNot monotonic
2022-03-24T10:34:24.199866image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
077
 
20.2%
0.518
 
4.7%
0.316
 
4.2%
0.213
 
3.4%
1.018
 
2.1%
-0.58
 
2.1%
0.77
 
1.8%
0.47
 
1.8%
17
 
1.8%
-0.46
 
1.6%
Other values (143)215
56.3%
ValueCountFrequency (%)
-34.531
0.3%
-29.331
0.3%
-23.91
0.3%
-20.781
0.3%
-151
0.3%
ValueCountFrequency (%)
10.261
0.3%
9.871
0.3%
8.571
0.3%
7.882
0.5%
7.731
0.3%

国债-新债.12
Real number (ℝ)

ZEROS

Distinct195
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09256544503
Minimum-41.16
Maximum31.09
Zeros87
Zeros (%)22.8%
Negative120
Negative (%)31.4%
Memory size3.1 KiB
2022-03-24T10:34:24.248805image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-41.16
5-th percentile-5.25
Q1-0.575
median0
Q31.1375
95-th percentile6.98
Maximum31.09
Range72.25
Interquartile range (IQR)1.7125

Descriptive statistics

Standard deviation4.88527932
Coefficient of variation (CV)52.77649039
Kurtosis26.79291926
Mean0.09256544503
Median Absolute Deviation (MAD)1
Skewness-2.360497325
Sum35.36
Variance23.86595403
MonotonicityNot monotonic
2022-03-24T10:34:24.296852image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087
 
22.8%
0.213
 
3.4%
-0.19
 
2.4%
0.58
 
2.1%
0.36
 
1.6%
0.15
 
1.3%
1.115
 
1.3%
0.44
 
1.0%
-0.34
 
1.0%
-0.64
 
1.0%
Other values (185)237
62.0%
ValueCountFrequency (%)
-41.161
0.3%
-34.361
0.3%
-29.531
0.3%
-13.221
0.3%
-12.681
0.3%
ValueCountFrequency (%)
31.091
0.3%
16.461
0.3%
13.481
0.3%
11.131
0.3%
9.791
0.3%

国债-新债.13
Real number (ℝ)

ZEROS

Distinct191
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2806544503
Minimum-47.03
Maximum29.82
Zeros121
Zeros (%)31.7%
Negative123
Negative (%)32.2%
Memory size3.1 KiB
2022-03-24T10:34:24.348477image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-47.03
5-th percentile-4.288
Q1-0.51
median0
Q31.085
95-th percentile5.6705
Maximum29.82
Range76.85
Interquartile range (IQR)1.595

Descriptive statistics

Standard deviation4.303644777
Coefficient of variation (CV)15.33431867
Kurtosis45.15951522
Mean0.2806544503
Median Absolute Deviation (MAD)0.71
Skewness-2.554884803
Sum107.21
Variance18.52135836
MonotonicityNot monotonic
2022-03-24T10:34:24.397486image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0121
31.7%
0.16
 
1.6%
-0.36
 
1.6%
0.35
 
1.3%
-0.15
 
1.3%
-0.314
 
1.0%
0.514
 
1.0%
-0.214
 
1.0%
-1.023
 
0.8%
0.293
 
0.8%
Other values (181)221
57.9%
ValueCountFrequency (%)
-47.031
0.3%
-16.191
0.3%
-15.111
0.3%
-13.191
0.3%
-9.841
0.3%
ValueCountFrequency (%)
29.821
0.3%
17.391
0.3%
14.151
0.3%
11.591
0.3%
10.771
0.3%

国债-新债.14
Real number (ℝ)

ZEROS

Distinct277
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4028534031
Minimum-54.26
Maximum44.29
Zeros59
Zeros (%)15.4%
Negative133
Negative (%)34.8%
Memory size3.1 KiB
2022-03-24T10:34:24.449477image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-54.26
5-th percentile-11.586
Q1-1.345
median0
Q32.93
95-th percentile10.543
Maximum44.29
Range98.55
Interquartile range (IQR)4.275

Descriptive statistics

Standard deviation7.689757579
Coefficient of variation (CV)19.08822792
Kurtosis12.53585909
Mean0.4028534031
Median Absolute Deviation (MAD)2.085
Skewness-0.7853647294
Sum153.89
Variance59.13237163
MonotonicityNot monotonic
2022-03-24T10:34:24.497077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
059
 
15.4%
0.25
 
1.3%
0.15
 
1.3%
0.394
 
1.0%
-0.494
 
1.0%
-0.24
 
1.0%
-0.293
 
0.8%
-0.593
 
0.8%
0.43
 
0.8%
-0.33
 
0.8%
Other values (267)289
75.7%
ValueCountFrequency (%)
-54.261
0.3%
-32.961
0.3%
-32.711
0.3%
-26.191
0.3%
-26.121
0.3%
ValueCountFrequency (%)
44.291
0.3%
36.11
0.3%
28.031
0.3%
23.551
0.3%
17.691
0.3%

国债-新债.15
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001387434555
Minimum-0.53
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:24.534520image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02711715904
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.001387434555
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.53
Variance0.0007353403141
MonotonicityNot monotonic
2022-03-24T10:34:24.567163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.531
 
0.3%
ValueCountFrequency (%)
-0.531
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.531
 
0.3%

国债-新债.16
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003481675393
Minimum-0.63
Maximum0.11
Zeros377
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:34:24.599908image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.63
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.11
Range0.74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04664236446
Coefficient of variation (CV)-13.39652874
Kurtosis141.3820532
Mean-0.003481675393
Median Absolute Deviation (MAD)0
Skewness-11.57650221
Sum-1.33
Variance0.002175510162
MonotonicityNot monotonic
2022-03-24T10:34:24.632435image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0377
98.7%
0.081
 
0.3%
-0.631
 
0.3%
-0.341
 
0.3%
-0.551
 
0.3%
0.111
 
0.3%
ValueCountFrequency (%)
-0.631
 
0.3%
-0.551
 
0.3%
-0.341
 
0.3%
0377
98.7%
0.081
 
0.3%
ValueCountFrequency (%)
0.111
 
0.3%
0.081
 
0.3%
0377
98.7%
-0.341
 
0.3%
-0.551
 
0.3%

国债-新债.17
Real number (ℝ)

ZEROS

Distinct286
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5721204188
Minimum-16.75
Maximum15.27
Zeros18
Zeros (%)4.7%
Negative132
Negative (%)34.6%
Memory size3.1 KiB
2022-03-24T10:34:24.676996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.75
5-th percentile-4.897
Q1-0.7575
median0.515
Q31.95
95-th percentile6.085
Maximum15.27
Range32.02
Interquartile range (IQR)2.7075

Descriptive statistics

Standard deviation3.538926904
Coefficient of variation (CV)6.185632931
Kurtosis4.036352053
Mean0.5721204188
Median Absolute Deviation (MAD)1.405
Skewness-0.3271822761
Sum218.55
Variance12.52400363
MonotonicityNot monotonic
2022-03-24T10:34:24.723313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
0.517
 
1.8%
-0.26
 
1.6%
0.14
 
1.0%
1.293
 
0.8%
-0.13
 
0.8%
1.233
 
0.8%
0.193
 
0.8%
0.093
 
0.8%
0.33
 
0.8%
Other values (276)329
86.1%
ValueCountFrequency (%)
-16.751
0.3%
-13.921
0.3%
-12.41
0.3%
-11.021
0.3%
-10.291
0.3%
ValueCountFrequency (%)
15.271
0.3%
13.151
0.3%
10.341
0.3%
10.261
0.3%
10.031
0.3%

国债-新债.18
Real number (ℝ)

ZEROS

Distinct79
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2157068063
Minimum-21.99
Maximum2.3
Zeros228
Zeros (%)59.7%
Negative76
Negative (%)19.9%
Memory size3.1 KiB
2022-03-24T10:34:24.772309image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.99
5-th percentile-0.898
Q10
median0
Q30
95-th percentile0.767
Maximum2.3
Range24.29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.985657999
Coefficient of variation (CV)-9.205356256
Kurtosis87.6194531
Mean-0.2157068063
Median Absolute Deviation (MAD)0
Skewness-8.860825447
Sum-82.4
Variance3.942837688
MonotonicityNot monotonic
2022-03-24T10:34:24.819924image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0228
59.7%
0.213
 
3.4%
0.19
 
2.4%
0.38
 
2.1%
-0.197
 
1.8%
-0.26
 
1.6%
-0.36
 
1.6%
-0.15
 
1.3%
0.194
 
1.0%
-0.384
 
1.0%
Other values (69)92
24.1%
ValueCountFrequency (%)
-21.991
0.3%
-21.741
0.3%
-16.961
0.3%
-8.571
0.3%
-7.91
0.3%
ValueCountFrequency (%)
2.32
0.5%
1.891
0.3%
1.62
0.5%
1.491
0.3%
1.261
0.3%

国债-新债.19
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.423376963
Minimum-64.87
Maximum57.25
Zeros11
Zeros (%)2.9%
Negative144
Negative (%)37.7%
Memory size3.1 KiB
2022-03-24T10:34:24.867117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-64.87
5-th percentile-22.5425
Q1-3.475
median1.5
Q38.4125
95-th percentile23.499
Maximum57.25
Range122.12
Interquartile range (IQR)11.8875

Descriptive statistics

Standard deviation14.83693054
Coefficient of variation (CV)10.42375346
Kurtosis4.053696493
Mean1.423376963
Median Absolute Deviation (MAD)5.585
Skewness-0.5481593645
Sum543.73
Variance220.134508
MonotonicityNot monotonic
2022-03-24T10:34:24.917644image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-17.982
 
0.5%
2.662
 
0.5%
17.322
 
0.5%
-8.292
 
0.5%
0.312
 
0.5%
2.932
 
0.5%
1.432
 
0.5%
0.132
 
0.5%
0.392
 
0.5%
Other values (339)353
92.4%
ValueCountFrequency (%)
-64.871
0.3%
-64.611
0.3%
-55.521
0.3%
-51.91
0.3%
-44.511
0.3%
ValueCountFrequency (%)
57.251
0.3%
48.641
0.3%
47.351
0.3%
45.21
0.3%
42.241
0.3%

国债-新债.20
Real number (ℝ)

ZEROS

Distinct142
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.070445026
Minimum-106.85
Maximum9.55
Zeros160
Zeros (%)41.9%
Negative163
Negative (%)42.7%
Memory size3.1 KiB
2022-03-24T10:34:24.966271image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-106.85
5-th percentile-11.406
Q1-1.865
median0
Q30
95-th percentile1.99
Maximum9.55
Range116.4
Interquartile range (IQR)1.865

Descriptive statistics

Standard deviation7.725435887
Coefficient of variation (CV)-3.731292446
Kurtosis94.61786835
Mean-2.070445026
Median Absolute Deviation (MAD)0.4
Skewness-8.06409933
Sum-790.91
Variance59.68235964
MonotonicityNot monotonic
2022-03-24T10:34:25.013270image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0160
41.9%
-0.216
 
4.2%
-0.510
 
2.6%
-0.36
 
1.6%
-1.496
 
1.6%
0.55
 
1.3%
1.984
 
1.0%
-1.994
 
1.0%
-1.294
 
1.0%
0.993
 
0.8%
Other values (132)164
42.9%
ValueCountFrequency (%)
-106.851
0.3%
-47.581
0.3%
-44.141
0.3%
-35.871
0.3%
-25.021
0.3%
ValueCountFrequency (%)
9.551
0.3%
9.391
0.3%
8.461
0.3%
6.971
0.3%
5.781
0.3%

国债-新债.21
Real number (ℝ)

ZEROS

Distinct214
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.798219895
Minimum-262.35
Maximum34.08
Zeros82
Zeros (%)21.5%
Negative176
Negative (%)46.1%
Memory size3.1 KiB
2022-03-24T10:34:25.062286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-262.35
5-th percentile-28.0535
Q1-2.15
median0
Q30.8075
95-th percentile4.9385
Maximum34.08
Range296.43
Interquartile range (IQR)2.9575

Descriptive statistics

Standard deviation23.4279115
Coefficient of variation (CV)-4.882625643
Kurtosis55.55349354
Mean-4.798219895
Median Absolute Deviation (MAD)1.2
Skewness-6.675281967
Sum-1832.92
Variance548.8670372
MonotonicityNot monotonic
2022-03-24T10:34:25.397995image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
082
 
21.5%
-0.511
 
2.9%
0.210
 
2.6%
18
 
2.1%
-16
 
1.6%
-1.015
 
1.3%
0.65
 
1.3%
-0.25
 
1.3%
-0.514
 
1.0%
-1.54
 
1.0%
Other values (204)242
63.4%
ValueCountFrequency (%)
-262.351
0.3%
-193.211
0.3%
-137.411
0.3%
-129.531
0.3%
-112.961
0.3%
ValueCountFrequency (%)
34.081
0.3%
14.871
0.3%
13.861
0.3%
13.651
0.3%
13.091
0.3%

国债-新债.22
Real number (ℝ)

ZEROS

Distinct225
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.765209424
Minimum-204.34
Maximum14.63
Zeros87
Zeros (%)22.8%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:34:25.447479image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-204.34
5-th percentile-13.8265
Q1-2.5375
median0
Q30.2
95-th percentile4.955
Maximum14.63
Range218.97
Interquartile range (IQR)2.7375

Descriptive statistics

Standard deviation17.58753018
Coefficient of variation (CV)-4.671062933
Kurtosis66.16141181
Mean-3.765209424
Median Absolute Deviation (MAD)1.07
Skewness-7.380691867
Sum-1438.31
Variance309.3212177
MonotonicityNot monotonic
2022-03-24T10:34:25.494579image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087
 
22.8%
0.17
 
1.8%
-0.55
 
1.3%
0.25
 
1.3%
0.614
 
1.0%
-0.24
 
1.0%
-0.44
 
1.0%
0.84
 
1.0%
-0.14
 
1.0%
0.514
 
1.0%
Other values (215)254
66.5%
ValueCountFrequency (%)
-204.341
0.3%
-157.151
0.3%
-106.351
0.3%
-104.791
0.3%
-81.181
0.3%
ValueCountFrequency (%)
14.631
0.3%
11.071
0.3%
9.531
0.3%
8.681
0.3%
8.651
0.3%

国债-新债.23
Real number (ℝ)

ZEROS

Distinct195
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.892591623
Minimum-97.35
Maximum6.37
Zeros135
Zeros (%)35.3%
Negative156
Negative (%)40.8%
Memory size3.1 KiB
2022-03-24T10:34:25.541689image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-97.35
5-th percentile-7.437
Q1-1.3675
median0
Q30
95-th percentile2.5665
Maximum6.37
Range103.72
Interquartile range (IQR)1.3675

Descriptive statistics

Standard deviation8.900137033
Coefficient of variation (CV)-4.702618845
Kurtosis56.20165381
Mean-1.892591623
Median Absolute Deviation (MAD)0.7
Skewness-6.829007179
Sum-722.97
Variance79.2124392
MonotonicityNot monotonic
2022-03-24T10:34:25.589876image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0135
35.3%
0.26
 
1.6%
-0.15
 
1.3%
-0.515
 
1.3%
-0.914
 
1.0%
-0.54
 
1.0%
-0.24
 
1.0%
-0.34
 
1.0%
0.74
 
1.0%
0.53
 
0.8%
Other values (185)208
54.5%
ValueCountFrequency (%)
-97.351
0.3%
-75.311
0.3%
-59.961
0.3%
-56.361
0.3%
-45.091
0.3%
ValueCountFrequency (%)
6.371
0.3%
6.171
0.3%
5.991
0.3%
5.891
0.3%
5.871
0.3%

国债-新债.24
Real number (ℝ)

ZEROS

Distinct267
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.182146597
Minimum-120.81
Maximum16.57
Zeros57
Zeros (%)14.9%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:34:25.640774image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-120.81
5-th percentile-12.0645
Q1-2.84
median0
Q30.78
95-th percentile6.501
Maximum16.57
Range137.38
Interquartile range (IQR)3.62

Descriptive statistics

Standard deviation11.22627419
Coefficient of variation (CV)-5.144601285
Kurtosis50.86496282
Mean-2.182146597
Median Absolute Deviation (MAD)1.675
Skewness-6.219429444
Sum-833.58
Variance126.0292321
MonotonicityNot monotonic
2022-03-24T10:34:25.687424image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
057
 
14.9%
0.498
 
2.1%
0.15
 
1.3%
0.394
 
1.0%
-0.44
 
1.0%
0.24
 
1.0%
-1.74
 
1.0%
0.93
 
0.8%
0.783
 
0.8%
0.293
 
0.8%
Other values (257)287
75.1%
ValueCountFrequency (%)
-120.811
0.3%
-86.451
0.3%
-77.571
0.3%
-74.371
0.3%
-50.521
0.3%
ValueCountFrequency (%)
16.571
0.3%
16.211
0.3%
14.81
0.3%
14.231
0.3%
11.821
0.3%

国债-新债.25
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002617801047
Minimum0
Maximum0.1
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:25.727753image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range0.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005116445101
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0002617801047
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.1
Variance2.617801047 × 10-5
MonotonicityNot monotonic
2022-03-24T10:34:25.761376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.11
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.11
 
0.3%
ValueCountFrequency (%)
0.11
 
0.3%
0381
99.7%

国债-新债.26
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002539267016
Minimum-0.55
Maximum0.63
Zeros378
Zeros (%)99.0%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:25.794193image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.55
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.63
Range1.18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05409811518
Coefficient of variation (CV)21.30461855
Kurtosis106.2472364
Mean0.002539267016
Median Absolute Deviation (MAD)0
Skewness4.680408605
Sum0.97
Variance0.002926606066
MonotonicityNot monotonic
2022-03-24T10:34:25.827853image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0378
99.0%
0.631
 
0.3%
0.551
 
0.3%
-0.551
 
0.3%
0.341
 
0.3%
ValueCountFrequency (%)
-0.551
 
0.3%
0378
99.0%
0.341
 
0.3%
0.551
 
0.3%
0.631
 
0.3%
ValueCountFrequency (%)
0.631
 
0.3%
0.551
 
0.3%
0.341
 
0.3%
0378
99.0%
-0.551
 
0.3%

国债-新债.27
Real number (ℝ)

ZEROS

Distinct267
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.072094241
Minimum-90.89
Maximum8.7
Zeros27
Zeros (%)7.1%
Negative179
Negative (%)46.9%
Memory size3.1 KiB
2022-03-24T10:34:25.870258image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-90.89
5-th percentile-7.966
Q1-1.1375
median0
Q31.4325
95-th percentile4.539
Maximum8.7
Range99.59
Interquartile range (IQR)2.57

Descriptive statistics

Standard deviation7.878772458
Coefficient of variation (CV)-7.348955118
Kurtosis60.57923564
Mean-1.072094241
Median Absolute Deviation (MAD)1.22
Skewness-6.7330178
Sum-409.54
Variance62.07505545
MonotonicityNot monotonic
2022-03-24T10:34:25.918053image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
7.1%
0.18
 
2.1%
-0.18
 
2.1%
0.516
 
1.6%
-0.36
 
1.6%
0.414
 
1.0%
-0.514
 
1.0%
-0.414
 
1.0%
0.313
 
0.8%
-0.313
 
0.8%
Other values (257)309
80.9%
ValueCountFrequency (%)
-90.891
0.3%
-65.261
0.3%
-47.881
0.3%
-39.751
0.3%
-31.281
0.3%
ValueCountFrequency (%)
8.71
0.3%
8.231
0.3%
8.221
0.3%
7.781
0.3%
7.71
0.3%

国债-新债.28
Real number (ℝ)

ZEROS

Distinct55
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5896335079
Minimum-76.22
Maximum2
Zeros286
Zeros (%)74.9%
Negative51
Negative (%)13.4%
Memory size3.1 KiB
2022-03-24T10:34:25.967063image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-76.22
5-th percentile-0.518
Q10
median0
Q30
95-th percentile0.99
Maximum2
Range78.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.538460788
Coefficient of variation (CV)-9.393056388
Kurtosis115.3209172
Mean-0.5896335079
Median Absolute Deviation (MAD)0
Skewness-10.15090708
Sum-225.24
Variance30.6745479
MonotonicityNot monotonic
2022-03-24T10:34:26.016218image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0286
74.9%
-0.112
 
3.1%
-0.27
 
1.8%
0.994
 
1.0%
14
 
1.0%
-0.34
 
1.0%
1.913
 
0.8%
0.33
 
0.8%
0.53
 
0.8%
0.23
 
0.8%
Other values (45)53
 
13.9%
ValueCountFrequency (%)
-76.221
0.3%
-49.11
0.3%
-36.291
0.3%
-34.261
0.3%
-27.931
0.3%
ValueCountFrequency (%)
21
 
0.3%
1.913
0.8%
1.731
 
0.3%
1.631
 
0.3%
1.531
 
0.3%

国债-新债.29
Real number (ℝ)

ZEROS

Distinct357
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.36772251
Minimum-333.22
Maximum28.19
Zeros11
Zeros (%)2.9%
Negative261
Negative (%)68.3%
Memory size3.1 KiB
2022-03-24T10:34:26.068970image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-333.22
5-th percentile-81.3585
Q1-17.2475
median-5.195
Q31.08
95-th percentile10.694
Maximum28.19
Range361.41
Interquartile range (IQR)18.3275

Descriptive statistics

Standard deviation38.81914324
Coefficient of variation (CV)-2.371688743
Kurtosis24.52265939
Mean-16.36772251
Median Absolute Deviation (MAD)7.57
Skewness-4.271283887
Sum-6252.47
Variance1506.925882
MonotonicityNot monotonic
2022-03-24T10:34:26.116314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
2.812
 
0.5%
-6.812
 
0.5%
-4.342
 
0.5%
-7.962
 
0.5%
-5.52
 
0.5%
3.72
 
0.5%
-4.662
 
0.5%
-9.372
 
0.5%
-10.952
 
0.5%
Other values (347)353
92.4%
ValueCountFrequency (%)
-333.221
0.3%
-293.941
0.3%
-255.211
0.3%
-225.891
0.3%
-160.391
0.3%
ValueCountFrequency (%)
28.191
0.3%
20.271
0.3%
19.481
0.3%
17.981
0.3%
17.161
0.3%

国债-新债.30
Real number (ℝ)

ZEROS

Distinct158
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.333795812
Minimum-10.74
Maximum68.67
Zeros149
Zeros (%)39.0%
Negative36
Negative (%)9.4%
Memory size3.1 KiB
2022-03-24T10:34:26.167418image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.74
5-th percentile-0.99
Q10
median0.2
Q33.83
95-th percentile16.888
Maximum68.67
Range79.41
Interquartile range (IQR)3.83

Descriptive statistics

Standard deviation7.476781908
Coefficient of variation (CV)2.242723409
Kurtosis20.8495821
Mean3.333795812
Median Absolute Deviation (MAD)0.6
Skewness3.694463817
Sum1273.51
Variance55.90226771
MonotonicityNot monotonic
2022-03-24T10:34:26.216925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0149
39.0%
0.27
 
1.8%
0.66
 
1.6%
1.795
 
1.3%
0.45
 
1.3%
15
 
1.3%
2.194
 
1.0%
0.34
 
1.0%
1.994
 
1.0%
2.094
 
1.0%
Other values (148)189
49.5%
ValueCountFrequency (%)
-10.741
0.3%
-8.451
0.3%
-6.961
0.3%
-5.381
0.3%
-4.91
0.3%
ValueCountFrequency (%)
68.671
0.3%
47.61
0.3%
38.341
0.3%
34.221
0.3%
31.41
0.3%

国债-新债.31
Real number (ℝ)

ZEROS

Distinct125
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6895026178
Minimum-16.28
Maximum33.98
Zeros140
Zeros (%)36.6%
Negative108
Negative (%)28.3%
Memory size3.1 KiB
2022-03-24T10:34:26.267993image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.28
5-th percentile-1.7995
Q1-0.2
median0
Q30.5
95-th percentile6.0925
Maximum33.98
Range50.26
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation3.9491873
Coefficient of variation (CV)5.727588551
Kurtosis35.78236372
Mean0.6895026178
Median Absolute Deviation (MAD)0.4
Skewness4.764190947
Sum263.39
Variance15.59608033
MonotonicityNot monotonic
2022-03-24T10:34:26.317508image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0140
36.6%
-0.514
 
3.7%
0.111
 
2.9%
0.510
 
2.6%
-0.19
 
2.4%
0.38
 
2.1%
17
 
1.8%
-0.27
 
1.8%
0.27
 
1.8%
0.46
 
1.6%
Other values (115)163
42.7%
ValueCountFrequency (%)
-16.281
0.3%
-10.121
0.3%
-7.161
0.3%
-5.491
0.3%
-4.491
0.3%
ValueCountFrequency (%)
33.981
0.3%
32.481
0.3%
31.531
0.3%
18.351
0.3%
17.681
0.3%

国债-新债.32
Real number (ℝ)

ZEROS

Distinct179
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5956020942
Minimum-15.48
Maximum32.67
Zeros111
Zeros (%)29.1%
Negative107
Negative (%)28.0%
Memory size3.1 KiB
2022-03-24T10:34:26.364713image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.48
5-th percentile-3.3155
Q1-0.2075
median0
Q30.9325
95-th percentile5.855
Maximum32.67
Range48.15
Interquartile range (IQR)1.14

Descriptive statistics

Standard deviation3.770543871
Coefficient of variation (CV)6.330642399
Kurtosis26.63635049
Mean0.5956020942
Median Absolute Deviation (MAD)0.505
Skewness3.20121568
Sum227.52
Variance14.21700108
MonotonicityNot monotonic
2022-03-24T10:34:26.414384image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0111
29.1%
0.222
 
5.8%
-0.37
 
1.8%
0.17
 
1.8%
-0.56
 
1.6%
0.56
 
1.6%
0.45
 
1.3%
0.35
 
1.3%
-0.15
 
1.3%
-0.25
 
1.3%
Other values (169)203
53.1%
ValueCountFrequency (%)
-15.481
0.3%
-13.111
0.3%
-9.91
0.3%
-9.791
0.3%
-9.71
0.3%
ValueCountFrequency (%)
32.671
0.3%
30.711
0.3%
17.41
0.3%
15.691
0.3%
11.561
0.3%

国债-新债.33
Real number (ℝ)

ZEROS

Distinct127
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2436387435
Minimum-6.64
Maximum25.36
Zeros169
Zeros (%)44.2%
Negative102
Negative (%)26.7%
Memory size3.1 KiB
2022-03-24T10:34:26.462939image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.64
5-th percentile-1.419
Q1-0.1
median0
Q30.2775
95-th percentile2.503
Maximum25.36
Range32
Interquartile range (IQR)0.3775

Descriptive statistics

Standard deviation2.089146834
Coefficient of variation (CV)8.57477265
Kurtosis79.84574942
Mean0.2436387435
Median Absolute Deviation (MAD)0.2
Skewness7.265925169
Sum93.07
Variance4.364534494
MonotonicityNot monotonic
2022-03-24T10:34:26.507362image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169
44.2%
-0.311
 
2.9%
-0.19
 
2.4%
0.38
 
2.1%
-0.28
 
2.1%
0.318
 
2.1%
0.27
 
1.8%
0.15
 
1.3%
0.54
 
1.0%
-0.54
 
1.0%
Other values (117)149
39.0%
ValueCountFrequency (%)
-6.641
0.3%
-4.21
0.3%
-4.081
0.3%
-3.841
0.3%
-3.531
0.3%
ValueCountFrequency (%)
25.361
0.3%
20.961
0.3%
6.351
0.3%
6.191
0.3%
5.51
0.3%

国债-新债.34
Real number (ℝ)

ZEROS

Distinct249
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.327565445
Minimum-14.05
Maximum45.33
Zeros62
Zeros (%)16.2%
Negative125
Negative (%)32.7%
Memory size3.1 KiB
2022-03-24T10:34:26.555295image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-14.05
5-th percentile-5.7745
Q1-0.68
median0.1
Q32.6125
95-th percentile10.803
Maximum45.33
Range59.38
Interquartile range (IQR)3.2925

Descriptive statistics

Standard deviation5.707056744
Coefficient of variation (CV)4.298889193
Kurtosis12.90791701
Mean1.327565445
Median Absolute Deviation (MAD)1.33
Skewness2.397086193
Sum507.13
Variance32.57049668
MonotonicityNot monotonic
2022-03-24T10:34:26.599247image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
062
 
16.2%
0.213
 
3.4%
-0.112
 
3.1%
0.17
 
1.8%
-0.24
 
1.0%
0.34
 
1.0%
0.54
 
1.0%
0.594
 
1.0%
0.714
 
1.0%
0.194
 
1.0%
Other values (239)264
69.1%
ValueCountFrequency (%)
-14.051
0.3%
-13.221
0.3%
-12.421
0.3%
-11.341
0.3%
-11.331
0.3%
ValueCountFrequency (%)
45.331
0.3%
28.571
0.3%
27.721
0.3%
25.511
0.3%
22.311
0.3%

国债-新债.35
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001073298429
Minimum-0.52
Maximum0.21
Zeros379
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:26.637184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.52
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.21
Range0.73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02916420826
Coefficient of variation (CV)-27.17250624
Kurtosis271.9070516
Mean-0.001073298429
Median Absolute Deviation (MAD)0
Skewness-13.96622903
Sum-0.41
Variance0.0008505510437
MonotonicityNot monotonic
2022-03-24T10:34:26.670077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0379
99.2%
-0.521
 
0.3%
-0.11
 
0.3%
0.211
 
0.3%
ValueCountFrequency (%)
-0.521
 
0.3%
-0.11
 
0.3%
0379
99.2%
0.211
 
0.3%
ValueCountFrequency (%)
0.211
 
0.3%
0379
99.2%
-0.11
 
0.3%
-0.521
 
0.3%

国债-新债.36
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0005497382199
Minimum-0.21
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:26.705991image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.21
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01074453471
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.0005497382199
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.21
Variance0.0001154450262
MonotonicityNot monotonic
2022-03-24T10:34:26.736663image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.211
 
0.3%
ValueCountFrequency (%)
-0.211
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.211
 
0.3%

国债-新债.37
Real number (ℝ)

ZEROS

Distinct302
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.062015707
Minimum-23.22
Maximum45.06
Zeros23
Zeros (%)6.0%
Negative153
Negative (%)40.1%
Memory size3.1 KiB
2022-03-24T10:34:26.780138image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.22
5-th percentile-5.639
Q1-1.195
median0.21
Q32.6425
95-th percentile9.926
Maximum45.06
Range68.28
Interquartile range (IQR)3.8375

Descriptive statistics

Standard deviation5.740628457
Coefficient of variation (CV)5.405408245
Kurtosis13.90033238
Mean1.062015707
Median Absolute Deviation (MAD)1.83
Skewness2.205424035
Sum405.69
Variance32.95481509
MonotonicityNot monotonic
2022-03-24T10:34:26.826992image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
 
6.0%
-0.516
 
1.6%
0.15
 
1.3%
0.24
 
1.0%
-0.14
 
1.0%
0.313
 
0.8%
-0.793
 
0.8%
0.413
 
0.8%
-0.313
 
0.8%
-0.413
 
0.8%
Other values (292)325
85.1%
ValueCountFrequency (%)
-23.221
0.3%
-12.691
0.3%
-11.541
0.3%
-10.971
0.3%
-10.871
0.3%
ValueCountFrequency (%)
45.061
0.3%
30.871
0.3%
28.031
0.3%
27.491
0.3%
23.11
0.3%

国债-新债.38
Real number (ℝ)

ZEROS

Distinct71
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1207068063
Minimum-6.66
Maximum29.43
Zeros255
Zeros (%)66.8%
Negative82
Negative (%)21.5%
Memory size3.1 KiB
2022-03-24T10:34:26.879029image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.66
5-th percentile-0.6095
Q10
median0
Q30
95-th percentile0.48
Maximum29.43
Range36.09
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.142618599
Coefficient of variation (CV)17.75060301
Kurtosis118.7636336
Mean0.1207068063
Median Absolute Deviation (MAD)0
Skewness9.632828204
Sum46.11
Variance4.59081446
MonotonicityNot monotonic
2022-03-24T10:34:26.928308image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0255
66.8%
-0.118
 
4.7%
-0.216
 
4.2%
0.195
 
1.3%
0.14
 
1.0%
-0.44
 
1.0%
0.483
 
0.8%
0.213
 
0.8%
0.33
 
0.8%
-0.32
 
0.5%
Other values (61)69
 
18.1%
ValueCountFrequency (%)
-6.661
0.3%
-5.231
0.3%
-4.921
0.3%
-4.341
0.3%
-2.681
0.3%
ValueCountFrequency (%)
29.431
0.3%
21.421
0.3%
9.811
0.3%
7.441
0.3%
6.881
0.3%

国债-新债.39
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.370994764
Minimum-33.85
Maximum71.86
Zeros13
Zeros (%)3.4%
Negative92
Negative (%)24.1%
Memory size3.1 KiB
2022-03-24T10:34:26.980490image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-33.85
5-th percentile-9.8965
Q10
median4.465
Q312.6125
95-th percentile34.117
Maximum71.86
Range105.71
Interquartile range (IQR)12.6125

Descriptive statistics

Standard deviation13.8774312
Coefficient of variation (CV)1.882708052
Kurtosis2.715147964
Mean7.370994764
Median Absolute Deviation (MAD)6.105
Skewness1.127047086
Sum2815.72
Variance192.5830966
MonotonicityNot monotonic
2022-03-24T10:34:27.027210image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
4.983
 
0.8%
1.593
 
0.8%
-3.22
 
0.5%
0.762
 
0.5%
26.232
 
0.5%
6.312
 
0.5%
-14.872
 
0.5%
-0.992
 
0.5%
3.92
 
0.5%
Other values (345)349
91.4%
ValueCountFrequency (%)
-33.851
0.3%
-28.631
0.3%
-24.491
0.3%
-23.211
0.3%
-20.81
0.3%
ValueCountFrequency (%)
71.861
0.3%
57.071
0.3%
55.531
0.3%
53.971
0.3%
53.581
0.3%

国债-新债.40
Real number (ℝ)

ZEROS

Distinct75
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3876963351
Minimum-8.6
Maximum63.86
Zeros238
Zeros (%)62.3%
Negative84
Negative (%)22.0%
Memory size3.1 KiB
2022-03-24T10:34:27.074367image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.6
5-th percentile-1.4965
Q10
median0
Q30
95-th percentile3.2655
Maximum63.86
Range72.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.869328742
Coefficient of variation (CV)9.980307762
Kurtosis194.215301
Mean0.3876963351
Median Absolute Deviation (MAD)0
Skewness12.38415151
Sum148.1
Variance14.97170492
MonotonicityNot monotonic
2022-03-24T10:34:27.122003image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0238
62.3%
-0.214
 
3.7%
-0.48
 
2.1%
-0.38
 
2.1%
-16
 
1.6%
-0.995
 
1.3%
0.55
 
1.3%
-0.84
 
1.0%
-0.54
 
1.0%
0.13
 
0.8%
Other values (65)87
 
22.8%
ValueCountFrequency (%)
-8.61
0.3%
-6.991
0.3%
-5.991
0.3%
-3.951
0.3%
-2.981
0.3%
ValueCountFrequency (%)
63.861
0.3%
23.691
0.3%
11.361
0.3%
101
0.3%
9.191
0.3%

国债-新债.41
Real number (ℝ)

ZEROS

Distinct251
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4652094241
Minimum-29.44
Maximum40.69
Zeros42
Zeros (%)11.0%
Negative169
Negative (%)44.2%
Memory size3.1 KiB
2022-03-24T10:34:27.174748image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.44
5-th percentile-5.447
Q1-1.4625
median0
Q31.9725
95-th percentile8.07
Maximum40.69
Range70.13
Interquartile range (IQR)3.435

Descriptive statistics

Standard deviation5.457053692
Coefficient of variation (CV)11.7303163
Kurtosis14.95518886
Mean0.4652094241
Median Absolute Deviation (MAD)1.705
Skewness1.553930879
Sum177.71
Variance29.779435
MonotonicityNot monotonic
2022-03-24T10:34:27.220770image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
 
11.0%
-0.57
 
1.8%
-0.17
 
1.8%
-0.36
 
1.6%
0.56
 
1.6%
0.24
 
1.0%
-0.74
 
1.0%
0.74
 
1.0%
-3.224
 
1.0%
-0.24
 
1.0%
Other values (241)294
77.0%
ValueCountFrequency (%)
-29.441
0.3%
-20.711
0.3%
-15.261
0.3%
-14.391
0.3%
-14.181
0.3%
ValueCountFrequency (%)
40.691
0.3%
30.781
0.3%
26.671
0.3%
24.391
0.3%
17.471
0.3%

国债-新债.42
Real number (ℝ)

ZEROS

Distinct265
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2983769634
Minimum-19.07
Maximum27.94
Zeros65
Zeros (%)17.0%
Negative150
Negative (%)39.3%
Memory size3.1 KiB
2022-03-24T10:34:27.269756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-19.07
5-th percentile-7.9505
Q1-1.0475
median0
Q31.61
95-th percentile8.4565
Maximum27.94
Range47.01
Interquartile range (IQR)2.6575

Descriptive statistics

Standard deviation4.863813242
Coefficient of variation (CV)16.30090067
Kurtosis6.139578937
Mean0.2983769634
Median Absolute Deviation (MAD)1.41
Skewness0.4493909705
Sum113.98
Variance23.65667925
MonotonicityNot monotonic
2022-03-24T10:34:27.318180image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065
 
17.0%
0.34
 
1.0%
-0.24
 
1.0%
0.54
 
1.0%
1.923
 
0.8%
-0.53
 
0.8%
0.493
 
0.8%
-0.13
 
0.8%
0.392
 
0.5%
2.122
 
0.5%
Other values (255)289
75.7%
ValueCountFrequency (%)
-19.071
0.3%
-18.641
0.3%
-17.371
0.3%
-14.391
0.3%
-14.191
0.3%
ValueCountFrequency (%)
27.941
0.3%
20.431
0.3%
19.421
0.3%
16.931
0.3%
15.151
0.3%

国债-新债.43
Real number (ℝ)

ZEROS

Distinct215
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1160732984
Minimum-39.04
Maximum22.46
Zeros108
Zeros (%)28.3%
Negative144
Negative (%)37.7%
Memory size3.1 KiB
2022-03-24T10:34:27.367062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-39.04
5-th percentile-3.929
Q1-0.61
median0
Q30.52
95-th percentile3.738
Maximum22.46
Range61.5
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation3.280685108
Coefficient of variation (CV)-28.26390869
Kurtosis57.77473598
Mean-0.1160732984
Median Absolute Deviation (MAD)0.59
Skewness-3.580702593
Sum-44.34
Variance10.76289478
MonotonicityNot monotonic
2022-03-24T10:34:27.414996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0108
28.3%
0.15
 
1.3%
-0.25
 
1.3%
-0.54
 
1.0%
0.813
 
0.8%
1.013
 
0.8%
-1.13
 
0.8%
4.043
 
0.8%
-0.343
 
0.8%
-0.43
 
0.8%
Other values (205)242
63.4%
ValueCountFrequency (%)
-39.041
0.3%
-9.11
0.3%
-8.461
0.3%
-8.221
0.3%
-7.751
0.3%
ValueCountFrequency (%)
22.461
0.3%
11.931
0.3%
8.941
0.3%
7.761
0.3%
6.71
0.3%

国债-新债.44
Real number (ℝ)

ZEROS

Distinct274
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03238219895
Minimum-20.39
Maximum15.47
Zeros64
Zeros (%)16.8%
Negative164
Negative (%)42.9%
Memory size3.1 KiB
2022-03-24T10:34:27.465814image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-20.39
5-th percentile-5.71
Q1-1.5875
median0
Q31.305
95-th percentile6.2995
Maximum15.47
Range35.86
Interquartile range (IQR)2.8925

Descriptive statistics

Standard deviation3.57512481
Coefficient of variation (CV)-110.404016
Kurtosis4.289489763
Mean-0.03238219895
Median Absolute Deviation (MAD)1.52
Skewness-0.002036662673
Sum-12.37
Variance12.78151741
MonotonicityNot monotonic
2022-03-24T10:34:27.513194image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
064
 
16.8%
0.25
 
1.3%
-0.594
 
1.0%
0.13
 
0.8%
-0.693
 
0.8%
0.33
 
0.8%
-0.893
 
0.8%
0.293
 
0.8%
-0.13
 
0.8%
-1.573
 
0.8%
Other values (264)288
75.4%
ValueCountFrequency (%)
-20.391
0.3%
-10.351
0.3%
-9.331
0.3%
-9.251
0.3%
-8.741
0.3%
ValueCountFrequency (%)
15.471
0.3%
11.81
0.3%
11.771
0.3%
11.371
0.3%
9.421
0.3%

国债-新债.45
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001204188482
Minimum-0.11
Maximum0.1
Zeros371
Zeros (%)97.1%
Negative9
Negative (%)2.4%
Memory size3.1 KiB
2022-03-24T10:34:27.559680image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.11
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01269944026
Coefficient of variation (CV)-10.54605691
Kurtosis58.86847146
Mean-0.001204188482
Median Absolute Deviation (MAD)0
Skewness-5.036237037
Sum-0.46
Variance0.0001612757829
MonotonicityNot monotonic
2022-03-24T10:34:27.593357image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0371
97.1%
-0.013
 
0.8%
-0.112
 
0.5%
-0.12
 
0.5%
0.011
 
0.3%
-0.071
 
0.3%
-0.051
 
0.3%
0.11
 
0.3%
ValueCountFrequency (%)
-0.112
0.5%
-0.12
0.5%
-0.071
 
0.3%
-0.051
 
0.3%
-0.013
0.8%
ValueCountFrequency (%)
0.11
 
0.3%
0.011
 
0.3%
0371
97.1%
-0.013
 
0.8%
-0.051
 
0.3%

国债-新债.46
Real number (ℝ)

ZEROS

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006806282723
Minimum-0.28
Maximum0.39
Zeros366
Zeros (%)95.8%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:27.628771image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.28
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.39
Range0.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03187998478
Coefficient of variation (CV)46.83905456
Kurtosis120.7289092
Mean0.0006806282723
Median Absolute Deviation (MAD)0
Skewness6.986236631
Sum0.26
Variance0.00101633343
MonotonicityNot monotonic
2022-03-24T10:34:27.663408image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0366
95.8%
-0.023
 
0.8%
-0.033
 
0.8%
0.032
 
0.5%
0.021
 
0.3%
0.011
 
0.3%
-0.041
 
0.3%
-0.011
 
0.3%
0.371
 
0.3%
-0.281
 
0.3%
Other values (2)2
 
0.5%
ValueCountFrequency (%)
-0.281
 
0.3%
-0.111
 
0.3%
-0.041
 
0.3%
-0.033
0.8%
-0.023
0.8%
ValueCountFrequency (%)
0.391
0.3%
0.371
0.3%
0.032
0.5%
0.021
0.3%
0.011
0.3%

国债-新债.47
Real number (ℝ)

ZEROS

Distinct256
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2580366492
Minimum-16.43
Maximum8.2
Zeros30
Zeros (%)7.9%
Negative184
Negative (%)48.2%
Memory size3.1 KiB
2022-03-24T10:34:27.707906image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.43
5-th percentile-3.9065
Q1-0.8075
median0
Q30.72
95-th percentile2.6995
Maximum8.2
Range24.63
Interquartile range (IQR)1.5275

Descriptive statistics

Standard deviation2.318810236
Coefficient of variation (CV)-8.986360051
Kurtosis10.82454121
Mean-0.2580366492
Median Absolute Deviation (MAD)0.77
Skewness-2.000293231
Sum-98.57
Variance5.376880912
MonotonicityNot monotonic
2022-03-24T10:34:27.755178image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030
 
7.9%
0.17
 
1.8%
0.315
 
1.3%
0.615
 
1.3%
-0.54
 
1.0%
1.324
 
1.0%
-0.214
 
1.0%
-0.074
 
1.0%
-0.24
 
1.0%
-0.053
 
0.8%
Other values (246)312
81.7%
ValueCountFrequency (%)
-16.431
0.3%
-13.381
0.3%
-10.121
0.3%
-8.881
0.3%
-8.241
0.3%
ValueCountFrequency (%)
8.21
0.3%
6.171
0.3%
5.761
0.3%
5.451
0.3%
4.571
0.3%

国债-新债.48
Real number (ℝ)

ZEROS

Distinct55
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07018324607
Minimum-7.59
Maximum1.66
Zeros282
Zeros (%)73.8%
Negative63
Negative (%)16.5%
Memory size3.1 KiB
2022-03-24T10:34:27.804393image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.59
5-th percentile-0.2095
Q10
median0
Q30
95-th percentile0.1095
Maximum1.66
Range9.25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6067383805
Coefficient of variation (CV)-8.645060103
Kurtosis83.88515536
Mean-0.07018324607
Median Absolute Deviation (MAD)0
Skewness-8.326073446
Sum-26.81
Variance0.3681314624
MonotonicityNot monotonic
2022-03-24T10:34:27.855392image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0282
73.8%
0.18
 
2.1%
-0.017
 
1.8%
-0.026
 
1.6%
-0.16
 
1.6%
-0.044
 
1.0%
-0.034
 
1.0%
-0.113
 
0.8%
-0.23
 
0.8%
0.193
 
0.8%
Other values (45)56
 
14.7%
ValueCountFrequency (%)
-7.591
0.3%
-4.731
0.3%
-4.41
0.3%
-4.21
0.3%
-31
0.3%
ValueCountFrequency (%)
1.661
0.3%
1.231
0.3%
1.011
0.3%
0.61
0.3%
0.41
0.3%

国债-新债.49
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6743455497
Minimum-32.76
Maximum64.52
Zeros11
Zeros (%)2.9%
Negative180
Negative (%)47.1%
Memory size3.1 KiB
2022-03-24T10:34:27.904479image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.76
5-th percentile-15.8865
Q1-4.26
median0.03
Q34.78
95-th percentile16.8095
Maximum64.52
Range97.28
Interquartile range (IQR)9.04

Descriptive statistics

Standard deviation10.39956717
Coefficient of variation (CV)15.4217184
Kurtosis4.914418167
Mean0.6743455497
Median Absolute Deviation (MAD)4.545
Skewness0.8025823136
Sum257.6
Variance108.1509973
MonotonicityNot monotonic
2022-03-24T10:34:27.949950image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
9.62
 
0.5%
-1.72
 
0.5%
-3.242
 
0.5%
7.512
 
0.5%
5.792
 
0.5%
3.492
 
0.5%
-9.912
 
0.5%
4.752
 
0.5%
-3.662
 
0.5%
Other values (343)353
92.4%
ValueCountFrequency (%)
-32.761
0.3%
-32.721
0.3%
-30.461
0.3%
-23.861
0.3%
-23.811
0.3%
ValueCountFrequency (%)
64.521
0.3%
37.791
0.3%
36.381
0.3%
33.131
0.3%
29.881
0.3%

国债-新债.50
Real number (ℝ)

ZEROS

Distinct70
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8685340314
Minimum-86.35
Maximum23.38
Zeros257
Zeros (%)67.3%
Negative90
Negative (%)23.6%
Memory size3.1 KiB
2022-03-24T10:34:27.997477image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-86.35
5-th percentile-3.9595
Q10
median0
Q30
95-th percentile0.9995
Maximum23.38
Range109.73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.392691812
Coefficient of variation (CV)-7.360323926
Kurtosis128.0716389
Mean-0.8685340314
Median Absolute Deviation (MAD)0
Skewness-10.31898794
Sum-331.78
Variance40.86650861
MonotonicityNot monotonic
2022-03-24T10:34:28.045121image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0257
67.3%
-115
 
3.9%
-1.499
 
2.4%
-0.58
 
2.1%
-1.996
 
1.6%
0.56
 
1.6%
15
 
1.3%
0.14
 
1.0%
2.993
 
0.8%
-0.73
 
0.8%
Other values (60)66
 
17.3%
ValueCountFrequency (%)
-86.351
0.3%
-73.471
0.3%
-23.291
0.3%
-21.311
0.3%
-17.831
0.3%
ValueCountFrequency (%)
23.381
0.3%
8.391
0.3%
4.981
0.3%
3.91
0.3%
3.591
0.3%

国债-新债.51
Real number (ℝ)

ZEROS

Distinct271
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.780942408
Minimum-104.26
Maximum34.78
Zeros44
Zeros (%)11.5%
Negative192
Negative (%)50.3%
Memory size3.1 KiB
2022-03-24T10:34:28.094286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-104.26
5-th percentile-13.8565
Q1-2.7075
median-0.03
Q31.285
95-th percentile6.1165
Maximum34.78
Range139.04
Interquartile range (IQR)3.9925

Descriptive statistics

Standard deviation13.40215731
Coefficient of variation (CV)-4.819286179
Kurtosis27.47959735
Mean-2.780942408
Median Absolute Deviation (MAD)1.96
Skewness-4.643329626
Sum-1062.32
Variance179.6178206
MonotonicityNot monotonic
2022-03-24T10:34:28.142687image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044
 
11.5%
0.57
 
1.8%
0.36
 
1.6%
-14
 
1.0%
0.24
 
1.0%
-1.24
 
1.0%
1.33
 
0.8%
-2.53
 
0.8%
-0.43
 
0.8%
-0.53
 
0.8%
Other values (261)301
78.8%
ValueCountFrequency (%)
-104.261
0.3%
-99.041
0.3%
-93.161
0.3%
-86.051
0.3%
-69.821
0.3%
ValueCountFrequency (%)
34.781
0.3%
31.831
0.3%
19.421
0.3%
14.851
0.3%
11.591
0.3%

国债-新债.52
Real number (ℝ)

ZEROS

Distinct265
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.120052356
Minimum-74.22
Maximum27.11
Zeros57
Zeros (%)14.9%
Negative171
Negative (%)44.8%
Memory size3.1 KiB
2022-03-24T10:34:28.491097image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.22
5-th percentile-9.5175
Q1-1.6275
median0
Q31.1075
95-th percentile7.0485
Maximum27.11
Range101.33
Interquartile range (IQR)2.735

Descriptive statistics

Standard deviation8.53798777
Coefficient of variation (CV)-7.622847025
Kurtosis27.4586393
Mean-1.120052356
Median Absolute Deviation (MAD)1.345
Skewness-4.265513851
Sum-427.86
Variance72.89723517
MonotonicityNot monotonic
2022-03-24T10:34:28.538463image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
057
 
14.9%
0.26
 
1.6%
-0.16
 
1.6%
0.14
 
1.0%
-0.983
 
0.8%
-0.713
 
0.8%
1.273
 
0.8%
-0.73
 
0.8%
-1.623
 
0.8%
0.33
 
0.8%
Other values (255)291
76.2%
ValueCountFrequency (%)
-74.221
0.3%
-53.791
0.3%
-52.871
0.3%
-50.81
0.3%
-45.241
0.3%
ValueCountFrequency (%)
27.111
0.3%
19.031
0.3%
18.391
0.3%
15.831
0.3%
13.911
0.3%

国债-新债.53
Real number (ℝ)

ZEROS

Distinct200
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3212827225
Minimum-70.91
Maximum15.59
Zeros129
Zeros (%)33.8%
Negative112
Negative (%)29.3%
Memory size3.1 KiB
2022-03-24T10:34:28.586428image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.91
5-th percentile-5.243
Q1-0.2
median0
Q30.78
95-th percentile8.7015
Maximum15.59
Range86.5
Interquartile range (IQR)0.98

Descriptive statistics

Standard deviation8.051521314
Coefficient of variation (CV)-25.0605487
Kurtosis42.7311744
Mean-0.3212827225
Median Absolute Deviation (MAD)0.51
Skewness-5.662055347
Sum-122.73
Variance64.82699546
MonotonicityNot monotonic
2022-03-24T10:34:28.631433image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0129
33.8%
0.16
 
1.6%
0.515
 
1.3%
-0.15
 
1.3%
-0.35
 
1.3%
-0.24
 
1.0%
0.33
 
0.8%
-0.843
 
0.8%
1.013
 
0.8%
0.43
 
0.8%
Other values (190)216
56.5%
ValueCountFrequency (%)
-70.911
0.3%
-64.491
0.3%
-63.081
0.3%
-58.411
0.3%
-32.631
0.3%
ValueCountFrequency (%)
15.591
0.3%
14.691
0.3%
14.031
0.3%
13.751
0.3%
13.351
0.3%

国债-新债.54
Real number (ℝ)

ZEROS

Distinct261
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.721675393
Minimum-96.1
Maximum17.9
Zeros73
Zeros (%)19.1%
Negative173
Negative (%)45.3%
Memory size3.1 KiB
2022-03-24T10:34:28.677572image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-96.1
5-th percentile-9.567
Q1-2.1975
median0
Q30.9675
95-th percentile5.5075
Maximum17.9
Range114
Interquartile range (IQR)3.165

Descriptive statistics

Standard deviation9.190776177
Coefficient of variation (CV)-5.338274692
Kurtosis45.58241194
Mean-1.721675393
Median Absolute Deviation (MAD)1.6
Skewness-5.834146198
Sum-657.68
Variance84.47036674
MonotonicityNot monotonic
2022-03-24T10:34:28.726386image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073
 
19.1%
-0.27
 
1.8%
0.34
 
1.0%
-0.33
 
0.8%
-0.613
 
0.8%
0.13
 
0.8%
2.643
 
0.8%
0.513
 
0.8%
0.492
 
0.5%
-3.82
 
0.5%
Other values (251)279
73.0%
ValueCountFrequency (%)
-96.11
0.3%
-70.091
0.3%
-59.171
0.3%
-57.991
0.3%
-43.831
0.3%
ValueCountFrequency (%)
17.91
0.3%
12.361
0.3%
11.971
0.3%
8.321
0.3%
8.231
0.3%

国债-新债.55
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.617801047 × 10-5
Minimum-0.1
Maximum0.1
Zeros379
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:28.767171image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range0.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007263278765
Coefficient of variation (CV)277.4572488
Kurtosis188.5937306
Mean2.617801047 × 10-5
Median Absolute Deviation (MAD)0
Skewness-0.003983595878
Sum0.01
Variance5.275521842 × 10-5
MonotonicityNot monotonic
2022-03-24T10:34:28.799604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0379
99.2%
0.11
 
0.3%
-0.11
 
0.3%
0.011
 
0.3%
ValueCountFrequency (%)
-0.11
 
0.3%
0379
99.2%
0.011
 
0.3%
0.11
 
0.3%
ValueCountFrequency (%)
0.11
 
0.3%
0.011
 
0.3%
0379
99.2%
-0.11
 
0.3%

国债-新债.56
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-0.47
Maximum0.47
Zeros380
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:28.836930image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.47
Range0.94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03405260713
Coefficient of variation (CV)nan
Kurtosis190.5
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.001159580052
MonotonicityNot monotonic
2022-03-24T10:34:28.868607image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
0.471
 
0.3%
-0.471
 
0.3%
ValueCountFrequency (%)
-0.471
 
0.3%
0380
99.5%
0.471
 
0.3%
ValueCountFrequency (%)
0.471
 
0.3%
0380
99.5%
-0.471
 
0.3%

国债-新债.57
Real number (ℝ)

ZEROS

Distinct192
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.353298429
Minimum-63.7
Maximum16.81
Zeros84
Zeros (%)22.0%
Negative164
Negative (%)42.9%
Memory size3.1 KiB
2022-03-24T10:34:28.911765image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.7
5-th percentile-5.7175
Q1-0.4475
median0
Q30.2
95-th percentile1.2495
Maximum16.81
Range80.51
Interquartile range (IQR)0.6475

Descriptive statistics

Standard deviation6.968879876
Coefficient of variation (CV)-5.149551441
Kurtosis39.0767115
Mean-1.353298429
Median Absolute Deviation (MAD)0.31
Skewness-5.83134807
Sum-516.96
Variance48.56528673
MonotonicityNot monotonic
2022-03-24T10:34:28.960729image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
084
 
22.0%
0.210
 
2.6%
-0.19
 
2.4%
0.319
 
2.4%
-0.28
 
2.1%
-0.56
 
1.6%
-0.026
 
1.6%
0.15
 
1.3%
-0.515
 
1.3%
-0.415
 
1.3%
Other values (182)235
61.5%
ValueCountFrequency (%)
-63.71
0.3%
-56.341
0.3%
-49.561
0.3%
-39.951
0.3%
-37.021
0.3%
ValueCountFrequency (%)
16.811
0.3%
5.541
0.3%
3.741
0.3%
2.991
0.3%
2.691
0.3%

国债-新债.58
Real number (ℝ)

ZEROS

Distinct45
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5508900524
Minimum-63.14
Maximum0.5
Zeros309
Zeros (%)80.9%
Negative52
Negative (%)13.6%
Memory size3.1 KiB
2022-03-24T10:34:29.016765image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.14
5-th percentile-0.4855
Q10
median0
Q30
95-th percentile0.0195
Maximum0.5
Range63.64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.141022639
Coefficient of variation (CV)-7.516967535
Kurtosis147.5358164
Mean-0.5508900524
Median Absolute Deviation (MAD)0
Skewness-11.1245288
Sum-210.44
Variance17.1480685
MonotonicityNot monotonic
2022-03-24T10:34:29.068784image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0309
80.9%
-0.015
 
1.3%
0.14
 
1.0%
-0.24
 
1.0%
-0.14
 
1.0%
-0.064
 
1.0%
0.23
 
0.8%
-0.023
 
0.8%
-0.052
 
0.5%
-0.232
 
0.5%
Other values (35)42
 
11.0%
ValueCountFrequency (%)
-63.141
0.3%
-29.021
0.3%
-22.051
0.3%
-21.491
0.3%
-18.011
0.3%
ValueCountFrequency (%)
0.52
0.5%
0.231
 
0.3%
0.23
0.8%
0.191
 
0.3%
0.171
 
0.3%

国债-新债.59
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.716518325
Minimum-186.71
Maximum34.78
Zeros11
Zeros (%)2.9%
Negative236
Negative (%)61.8%
Memory size3.1 KiB
2022-03-24T10:34:29.120931image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-186.71
5-th percentile-54.536
Q1-10.3375
median-2.915
Q32.09
95-th percentile14.2665
Maximum34.78
Range221.49
Interquartile range (IQR)12.4275

Descriptive statistics

Standard deviation25.32367046
Coefficient of variation (CV)-2.905250643
Kurtosis15.97957835
Mean-8.716518325
Median Absolute Deviation (MAD)5.915
Skewness-3.432888197
Sum-3329.71
Variance641.2882857
MonotonicityNot monotonic
2022-03-24T10:34:29.168742image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-4.263
 
0.8%
-2.763
 
0.8%
-17.832
 
0.5%
-5.012
 
0.5%
-27.922
 
0.5%
-7.152
 
0.5%
6.272
 
0.5%
-1.192
 
0.5%
-0.82
 
0.5%
Other values (343)351
91.9%
ValueCountFrequency (%)
-186.711
0.3%
-162.461
0.3%
-151.921
0.3%
-141.431
0.3%
-118.571
0.3%
ValueCountFrequency (%)
34.781
0.3%
34.751
0.3%
22.971
0.3%
21.581
0.3%
21.151
0.3%

国债-新债.60
Real number (ℝ)

ZEROS

Distinct18
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07565445026
Minimum-4.2
Maximum7.17
Zeros361
Zeros (%)94.5%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:34:29.209544image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7.17
Range11.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6066762994
Coefficient of variation (CV)8.019043127
Kurtosis70.66416074
Mean0.07565445026
Median Absolute Deviation (MAD)0
Skewness6.028569267
Sum28.9
Variance0.3680561323
MonotonicityNot monotonic
2022-03-24T10:34:29.248744image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0361
94.5%
2.593
 
0.8%
0.53
 
0.8%
-0.61
 
0.3%
7.171
 
0.3%
11
 
0.3%
0.31
 
0.3%
-4.21
 
0.3%
4.41
 
0.3%
4.481
 
0.3%
Other values (8)8
 
2.1%
ValueCountFrequency (%)
-4.21
 
0.3%
-0.61
 
0.3%
-0.51
 
0.3%
0361
94.5%
0.21
 
0.3%
ValueCountFrequency (%)
7.171
 
0.3%
4.481
 
0.3%
4.41
 
0.3%
2.593
0.8%
21
 
0.3%

国债-新债.61
Real number (ℝ)

ZEROS

Distinct41
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09230366492
Minimum-3.98
Maximum5.03
Zeros297
Zeros (%)77.7%
Negative40
Negative (%)10.5%
Memory size3.1 KiB
2022-03-24T10:34:29.291839image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.98
5-th percentile-0.3095
Q10
median0
Q30
95-th percentile1.0095
Maximum5.03
Range9.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7685958373
Coefficient of variation (CV)8.326818203
Kurtosis20.08495086
Mean0.09230366492
Median Absolute Deviation (MAD)0
Skewness2.719448476
Sum35.26
Variance0.5907395611
MonotonicityNot monotonic
2022-03-24T10:34:29.336397image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0297
77.7%
-0.212
 
3.1%
0.58
 
2.1%
0.25
 
1.3%
-0.35
 
1.3%
0.44
 
1.0%
-0.44
 
1.0%
-0.53
 
0.8%
-0.13
 
0.8%
0.513
 
0.8%
Other values (31)38
 
9.9%
ValueCountFrequency (%)
-3.981
0.3%
-2.981
0.3%
-2.81
0.3%
-2.021
0.3%
-2.011
0.3%
ValueCountFrequency (%)
5.031
0.3%
4.792
0.5%
4.491
0.3%
41
0.3%
3.21
0.3%

国债-新债.62
Real number (ℝ)

ZEROS

Distinct54
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08918848168
Minimum-3.43
Maximum4.56
Zeros282
Zeros (%)73.8%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:29.384178image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile-0.5
Q10
median0
Q30
95-th percentile1.5095
Maximum4.56
Range7.99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7025563529
Coefficient of variation (CV)7.877209474
Kurtosis13.94069469
Mean0.08918848168
Median Absolute Deviation (MAD)0
Skewness1.555296258
Sum34.07
Variance0.4935854289
MonotonicityNot monotonic
2022-03-24T10:34:29.432706image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0282
73.8%
-0.19
 
2.4%
0.58
 
2.1%
0.26
 
1.6%
-0.26
 
1.6%
-0.34
 
1.0%
0.14
 
1.0%
-0.54
 
1.0%
-0.813
 
0.8%
0.513
 
0.8%
Other values (44)53
 
13.9%
ValueCountFrequency (%)
-3.431
0.3%
-2.931
0.3%
-2.521
0.3%
-2.421
0.3%
-2.321
0.3%
ValueCountFrequency (%)
4.562
0.5%
2.81
0.3%
2.741
0.3%
2.71
0.3%
2.591
0.3%

国债-新债.63
Real number (ℝ)

ZEROS

Distinct45
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03641361257
Minimum-1.51
Maximum2.91
Zeros298
Zeros (%)78.0%
Negative38
Negative (%)9.9%
Memory size3.1 KiB
2022-03-24T10:34:29.482617image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile-0.3
Q10
median0
Q30
95-th percentile0.51
Maximum2.91
Range4.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3552441275
Coefficient of variation (CV)9.755805659
Kurtosis21.7170548
Mean0.03641361257
Median Absolute Deviation (MAD)0
Skewness2.936787527
Sum13.91
Variance0.1261983902
MonotonicityNot monotonic
2022-03-24T10:34:29.527283image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0298
78.0%
-0.27
 
1.8%
0.16
 
1.6%
0.516
 
1.6%
-0.16
 
1.6%
0.26
 
1.6%
-0.34
 
1.0%
-0.413
 
0.8%
0.613
 
0.8%
-0.43
 
0.8%
Other values (35)40
 
10.5%
ValueCountFrequency (%)
-1.511
0.3%
-1.421
0.3%
-1.121
0.3%
-1.041
0.3%
-0.741
0.3%
ValueCountFrequency (%)
2.911
0.3%
2.151
0.3%
2.031
0.3%
1.91
0.3%
1.511
0.3%

国债-新债.64
Real number (ℝ)

ZEROS

Distinct105
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2535602094
Minimum-5.11
Maximum8.93
Zeros212
Zeros (%)55.5%
Negative66
Negative (%)17.3%
Memory size3.1 KiB
2022-03-24T10:34:29.574605image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.11
5-th percentile-0.81
Q10
median0
Q30.2
95-th percentile2.644
Maximum8.93
Range14.04
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation1.293834114
Coefficient of variation (CV)5.102670158
Kurtosis13.41093993
Mean0.2535602094
Median Absolute Deviation (MAD)0
Skewness2.380538265
Sum96.86
Variance1.674006714
MonotonicityNot monotonic
2022-03-24T10:34:29.621733image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0212
55.5%
-0.110
 
2.6%
0.29
 
2.4%
-0.28
 
2.1%
0.38
 
2.1%
0.316
 
1.6%
0.15
 
1.3%
0.215
 
1.3%
0.44
 
1.0%
0.513
 
0.8%
Other values (95)112
29.3%
ValueCountFrequency (%)
-5.111
0.3%
-4.021
0.3%
-3.641
0.3%
-3.551
0.3%
-3.051
0.3%
ValueCountFrequency (%)
8.931
0.3%
7.891
0.3%
6.431
0.3%
6.271
0.3%
5.821
0.3%

国债-新债.67
Real number (ℝ)

ZEROS

Distinct99
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.132617801
Minimum-4.88
Maximum8.92
Zeros229
Zeros (%)59.9%
Negative64
Negative (%)16.8%
Memory size3.1 KiB
2022-03-24T10:34:29.682799image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.88
5-th percentile-0.8495
Q10
median0
Q30
95-th percentile1.5245
Maximum8.92
Range13.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.056719758
Coefficient of variation (CV)7.968159246
Kurtosis25.14198477
Mean0.132617801
Median Absolute Deviation (MAD)0
Skewness3.249879267
Sum50.66
Variance1.116656646
MonotonicityNot monotonic
2022-03-24T10:34:29.731667image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0229
59.9%
-0.112
 
3.1%
0.19
 
2.4%
-0.27
 
1.8%
0.25
 
1.3%
0.094
 
1.0%
0.324
 
1.0%
0.314
 
1.0%
0.193
 
0.8%
-0.483
 
0.8%
Other values (89)102
26.7%
ValueCountFrequency (%)
-4.881
0.3%
-3.041
0.3%
-2.941
0.3%
-2.661
0.3%
-2.571
0.3%
ValueCountFrequency (%)
8.921
0.3%
7.211
0.3%
6.331
0.3%
6.241
0.3%
3.761
0.3%

国债-新债.68
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001570680628
Minimum-0.89
Maximum1
Zeros358
Zeros (%)93.7%
Negative12
Negative (%)3.1%
Memory size3.1 KiB
2022-03-24T10:34:29.775028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.89
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09742427696
Coefficient of variation (CV)62.02678967
Kurtosis64.79707554
Mean0.001570680628
Median Absolute Deviation (MAD)0
Skewness2.476236727
Sum0.6
Variance0.009491489742
MonotonicityNot monotonic
2022-03-24T10:34:29.810272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0358
93.7%
0.15
 
1.3%
-0.24
 
1.0%
-0.13
 
0.8%
0.32
 
0.5%
-0.32
 
0.5%
11
 
0.3%
0.191
 
0.3%
0.861
 
0.3%
-0.471
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-0.891
 
0.3%
-0.471
 
0.3%
-0.32
0.5%
-0.24
1.0%
-0.111
 
0.3%
ValueCountFrequency (%)
11
0.3%
0.861
0.3%
0.421
0.3%
0.32
0.5%
0.21
0.3%

国债-新债.69
Real number (ℝ)

ZEROS

Distinct203
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6814136126
Minimum-5.54
Maximum12.23
Zeros79
Zeros (%)20.7%
Negative107
Negative (%)28.0%
Memory size3.1 KiB
2022-03-24T10:34:29.859348image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.54
5-th percentile-1.915
Q1-0.18
median0.085
Q31.125
95-th percentile4.6835
Maximum12.23
Range17.77
Interquartile range (IQR)1.305

Descriptive statistics

Standard deviation2.136622077
Coefficient of variation (CV)3.13557293
Kurtosis5.698040793
Mean0.6814136126
Median Absolute Deviation (MAD)0.595
Skewness1.531695072
Sum260.3
Variance4.565153902
MonotonicityNot monotonic
2022-03-24T10:34:29.908190image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
079
 
20.7%
-0.211
 
2.9%
-0.19
 
2.4%
0.18
 
2.1%
0.76
 
1.6%
-0.36
 
1.6%
0.26
 
1.6%
0.45
 
1.3%
0.524
 
1.0%
0.914
 
1.0%
Other values (193)244
63.9%
ValueCountFrequency (%)
-5.541
0.3%
-5.251
0.3%
-4.881
0.3%
-4.771
0.3%
-4.421
0.3%
ValueCountFrequency (%)
12.231
0.3%
10.421
0.3%
10.371
0.3%
8.921
0.3%
8.581
0.3%

国债-新债.70
Real number (ℝ)

ZEROS

Distinct157
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.343403141
Minimum-32.21
Maximum83.21
Zeros151
Zeros (%)39.5%
Negative206
Negative (%)53.9%
Memory size3.1 KiB
2022-03-24T10:34:29.957943image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.21
5-th percentile-13.1205
Q1-3.66
median-0.495
Q30
95-th percentile0.995
Maximum83.21
Range115.42
Interquartile range (IQR)3.66

Descriptive statistics

Standard deviation7.273398837
Coefficient of variation (CV)-3.103776174
Kurtosis55.83686704
Mean-2.343403141
Median Absolute Deviation (MAD)0.505
Skewness4.238068515
Sum-895.18
Variance52.90233065
MonotonicityNot monotonic
2022-03-24T10:34:30.004595image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0151
39.5%
-0.58
 
2.1%
-18
 
2.1%
-1.997
 
1.8%
-0.26
 
1.6%
-0.74
 
1.0%
-2.094
 
1.0%
-0.44
 
1.0%
-1.494
 
1.0%
-3.463
 
0.8%
Other values (147)183
47.9%
ValueCountFrequency (%)
-32.211
0.3%
-31.481
0.3%
-26.771
0.3%
-25.061
0.3%
-23.681
0.3%
ValueCountFrequency (%)
83.211
0.3%
41.211
0.3%
32.981
0.3%
9.461
0.3%
4.551
0.3%

国债-新债.71
Real number (ℝ)

ZEROS

Distinct252
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.794790576
Minimum-37.38
Maximum71.24
Zeros48
Zeros (%)12.6%
Negative240
Negative (%)62.8%
Memory size3.1 KiB
2022-03-24T10:34:30.052730image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.38
5-th percentile-13.3005
Q1-4.515
median-1.065
Q30
95-th percentile7.084
Maximum71.24
Range108.62
Interquartile range (IQR)4.515

Descriptive statistics

Standard deviation8.415910119
Coefficient of variation (CV)-4.689076393
Kurtosis20.06123918
Mean-1.794790576
Median Absolute Deviation (MAD)2.09
Skewness1.723691637
Sum-685.61
Variance70.82754313
MonotonicityNot monotonic
2022-03-24T10:34:30.100542image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
048
 
12.6%
-0.36
 
1.6%
-0.26
 
1.6%
-0.56
 
1.6%
-0.15
 
1.3%
-15
 
1.3%
0.55
 
1.3%
0.44
 
1.0%
-0.94
 
1.0%
-1.84
 
1.0%
Other values (242)289
75.7%
ValueCountFrequency (%)
-37.381
0.3%
-34.631
0.3%
-34.371
0.3%
-29.131
0.3%
-27.881
0.3%
ValueCountFrequency (%)
71.241
0.3%
38.451
0.3%
37.441
0.3%
37.271
0.3%
22.171
0.3%

国债-新债.72
Real number (ℝ)

ZEROS

Distinct248
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.568167539
Minimum-79.95
Maximum30.86
Zeros83
Zeros (%)21.7%
Negative185
Negative (%)48.4%
Memory size3.1 KiB
2022-03-24T10:34:30.148953image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-79.95
5-th percentile-11.461
Q1-3.3075
median0
Q30.7175
95-th percentile10.2645
Maximum30.86
Range110.81
Interquartile range (IQR)4.025

Descriptive statistics

Standard deviation9.43337501
Coefficient of variation (CV)-6.015540288
Kurtosis20.90852428
Mean-1.568167539
Median Absolute Deviation (MAD)2.15
Skewness-2.894171386
Sum-599.04
Variance88.98856409
MonotonicityNot monotonic
2022-03-24T10:34:30.195319image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
083
 
21.7%
-0.111
 
2.9%
0.35
 
1.3%
-0.24
 
1.0%
0.24
 
1.0%
-0.54
 
1.0%
13
 
0.8%
-1.973
 
0.8%
0.813
 
0.8%
0.53
 
0.8%
Other values (238)259
67.8%
ValueCountFrequency (%)
-79.951
0.3%
-66.11
0.3%
-42.31
0.3%
-39.351
0.3%
-38.211
0.3%
ValueCountFrequency (%)
30.861
0.3%
27.961
0.3%
27.221
0.3%
24.031
0.3%
18.321
0.3%

国债-新债.73
Real number (ℝ)

ZEROS

Distinct213
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.146361257
Minimum-58.73
Maximum17.7
Zeros116
Zeros (%)30.4%
Negative171
Negative (%)44.8%
Memory size3.1 KiB
2022-03-24T10:34:30.246171image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-58.73
5-th percentile-7.976
Q1-1.9825
median0
Q30
95-th percentile5.6265
Maximum17.7
Range76.43
Interquartile range (IQR)1.9825

Descriptive statistics

Standard deviation6.390707666
Coefficient of variation (CV)-5.574776388
Kurtosis26.81300139
Mean-1.146361257
Median Absolute Deviation (MAD)0.8
Skewness-3.662655421
Sum-437.91
Variance40.84114447
MonotonicityNot monotonic
2022-03-24T10:34:30.296148image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0116
30.4%
-0.26
 
1.6%
-0.15
 
1.3%
0.24
 
1.0%
0.714
 
1.0%
-0.53
 
0.8%
-0.713
 
0.8%
-0.523
 
0.8%
-0.63
 
0.8%
-0.43
 
0.8%
Other values (203)232
60.7%
ValueCountFrequency (%)
-58.731
0.3%
-40.11
0.3%
-38.021
0.3%
-37.341
0.3%
-27.821
0.3%
ValueCountFrequency (%)
17.71
0.3%
17.661
0.3%
17.341
0.3%
15.781
0.3%
14.471
0.3%

国债-新债.74
Real number (ℝ)

ZEROS

Distinct281
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.953507853
Minimum-72.8
Maximum27.63
Zeros61
Zeros (%)16.0%
Negative178
Negative (%)46.6%
Memory size3.1 KiB
2022-03-24T10:34:30.348624image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-72.8
5-th percentile-22.6285
Q1-4.5075
median0
Q31.36
95-th percentile9.4975
Maximum27.63
Range100.43
Interquartile range (IQR)5.8675

Descriptive statistics

Standard deviation11.34456699
Coefficient of variation (CV)-3.841048528
Kurtosis9.709593826
Mean-2.953507853
Median Absolute Deviation (MAD)2.745
Skewness-2.406028587
Sum-1128.24
Variance128.6992003
MonotonicityNot monotonic
2022-03-24T10:34:30.395368image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
061
 
16.0%
0.495
 
1.3%
-0.295
 
1.3%
-0.494
 
1.0%
1.293
 
0.8%
2.283
 
0.8%
0.23
 
0.8%
0.293
 
0.8%
0.13
 
0.8%
-0.72
 
0.5%
Other values (271)290
75.9%
ValueCountFrequency (%)
-72.81
0.3%
-60.431
0.3%
-60.11
0.3%
-52.821
0.3%
-51.31
0.3%
ValueCountFrequency (%)
27.631
0.3%
25.111
0.3%
18.31
0.3%
17.41
0.3%
17.31
0.3%

国债-新债.76
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001073298429
Minimum-0.7
Maximum0.45
Zeros377
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:34:30.432856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.45
Range1.15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04393564692
Coefficient of variation (CV)-40.93516371
Kurtosis198.014055
Mean-0.001073298429
Median Absolute Deviation (MAD)0
Skewness-7.908304835
Sum-0.41
Variance0.00193034107
MonotonicityNot monotonic
2022-03-24T10:34:30.466715image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0377
98.7%
0.091
 
0.3%
-0.081
 
0.3%
-0.171
 
0.3%
0.451
 
0.3%
-0.71
 
0.3%
ValueCountFrequency (%)
-0.71
 
0.3%
-0.171
 
0.3%
-0.081
 
0.3%
0377
98.7%
0.091
 
0.3%
ValueCountFrequency (%)
0.451
 
0.3%
0.091
 
0.3%
0377
98.7%
-0.081
 
0.3%
-0.171
 
0.3%

国债-新债.77
Real number (ℝ)

ZEROS

Distinct257
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.844136126
Minimum-60.96
Maximum7
Zeros25
Zeros (%)6.5%
Negative257
Negative (%)67.3%
Memory size3.1 KiB
2022-03-24T10:34:30.508466image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-60.96
5-th percentile-7.5595
Q1-2.395
median-0.68
Q30.1
95-th percentile2.318
Maximum7
Range67.96
Interquartile range (IQR)2.495

Descriptive statistics

Standard deviation5.505072932
Coefficient of variation (CV)-2.9851771
Kurtosis45.79306765
Mean-1.844136126
Median Absolute Deviation (MAD)1.15
Skewness-5.620112836
Sum-704.46
Variance30.30582799
MonotonicityNot monotonic
2022-03-24T10:34:30.556079image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
 
6.5%
-0.112
 
3.1%
0.19
 
2.4%
-0.417
 
1.8%
0.316
 
1.6%
-0.315
 
1.3%
-0.615
 
1.3%
-0.714
 
1.0%
-0.24
 
1.0%
-1.734
 
1.0%
Other values (247)301
78.8%
ValueCountFrequency (%)
-60.961
0.3%
-41.211
0.3%
-28.981
0.3%
-28.091
0.3%
-27.081
0.3%
ValueCountFrequency (%)
71
0.3%
6.851
0.3%
6.041
0.3%
4.861
0.3%
4.621
0.3%

国债-新债.78
Real number (ℝ)

ZEROS

Distinct60
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6645026178
Minimum-61.05
Maximum2.41
Zeros275
Zeros (%)72.0%
Negative89
Negative (%)23.3%
Memory size3.1 KiB
2022-03-24T10:34:30.606371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.05
5-th percentile-1.376
Q10
median0
Q30
95-th percentile0
Maximum2.41
Range63.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.72176361
Coefficient of variation (CV)-7.105711074
Kurtosis120.5476651
Mean-0.6645026178
Median Absolute Deviation (MAD)0
Skewness-10.52467494
Sum-253.84
Variance22.29505159
MonotonicityNot monotonic
2022-03-24T10:34:30.651628image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0275
72.0%
-0.111
 
2.9%
-0.27
 
1.8%
-0.34
 
1.0%
-0.294
 
1.0%
-0.493
 
0.8%
0.23
 
0.8%
-0.483
 
0.8%
-0.83
 
0.8%
-0.193
 
0.8%
Other values (50)66
 
17.3%
ValueCountFrequency (%)
-61.051
0.3%
-55.171
0.3%
-28.821
0.3%
-20.691
0.3%
-18.861
0.3%
ValueCountFrequency (%)
2.411
0.3%
11
0.3%
0.62
0.5%
0.581
0.3%
0.42
0.5%

国债-新债.79
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.31636126
Minimum-101.92
Maximum103.64
Zeros12
Zeros (%)3.1%
Negative284
Negative (%)74.3%
Memory size3.1 KiB
2022-03-24T10:34:30.700715image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-101.92
5-th percentile-53.5785
Q1-22.28
median-8.685
Q30
95-th percentile17.302
Maximum103.64
Range205.56
Interquartile range (IQR)22.28

Descriptive statistics

Standard deviation22.75955143
Coefficient of variation (CV)-1.847911973
Kurtosis3.539588222
Mean-12.31636126
Median Absolute Deviation (MAD)9.895
Skewness-0.128947691
Sum-4704.85
Variance517.9971812
MonotonicityNot monotonic
2022-03-24T10:34:30.746833image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-13.182
 
0.5%
2.342
 
0.5%
3.92
 
0.5%
-56.72
 
0.5%
-10.952
 
0.5%
-6.132
 
0.5%
-2.022
 
0.5%
-13.612
 
0.5%
-4.52
 
0.5%
Other values (346)352
92.1%
ValueCountFrequency (%)
-101.921
0.3%
-83.871
0.3%
-83.811
0.3%
-80.061
0.3%
-76.121
0.3%
ValueCountFrequency (%)
103.641
0.3%
73.251
0.3%
63.561
0.3%
59.461
0.3%
53.31
0.3%

国债-新债.80
Real number (ℝ)

ZEROS

Distinct135
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.073246073
Minimum-49.65
Maximum40.68
Zeros138
Zeros (%)36.1%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:30.794659image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.65
5-th percentile-8.426
Q1-1.49
median0
Q30
95-th percentile2.49
Maximum40.68
Range90.33
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation4.909568079
Coefficient of variation (CV)-4.57450365
Kurtosis40.53005468
Mean-1.073246073
Median Absolute Deviation (MAD)0.5
Skewness-1.437635816
Sum-409.98
Variance24.10385873
MonotonicityNot monotonic
2022-03-24T10:34:30.841329image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0138
36.1%
-0.211
 
2.9%
-0.411
 
2.9%
-19
 
2.4%
-1.999
 
2.4%
-0.37
 
1.8%
-1.496
 
1.6%
-0.56
 
1.6%
-0.75
 
1.3%
0.24
 
1.0%
Other values (125)176
46.1%
ValueCountFrequency (%)
-49.651
0.3%
-21.31
0.3%
-19.781
0.3%
-18.491
0.3%
-16.571
0.3%
ValueCountFrequency (%)
40.681
0.3%
17.391
0.3%
16.51
0.3%
12.761
0.3%
7.651
0.3%

国债-新债.81
Real number (ℝ)

ZEROS

Distinct276
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.77591623
Minimum-61.06
Maximum166.27
Zeros36
Zeros (%)9.4%
Negative233
Negative (%)61.0%
Memory size3.1 KiB
2022-03-24T10:34:30.888031image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.06
5-th percentile-13.85
Q1-4.7
median-1.21
Q30.51
95-th percentile20.413
Maximum166.27
Range227.33
Interquartile range (IQR)5.21

Descriptive statistics

Standard deviation23.71529809
Coefficient of variation (CV)13.35383825
Kurtosis26.08095966
Mean1.77591623
Median Absolute Deviation (MAD)2.465
Skewness4.746021206
Sum678.4
Variance562.4153633
MonotonicityNot monotonic
2022-03-24T10:34:30.936871image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
9.4%
-0.55
 
1.3%
0.55
 
1.3%
-2.14
 
1.0%
-1.64
 
1.0%
0.24
 
1.0%
-24
 
1.0%
-1.213
 
0.8%
2.33
 
0.8%
-1.43
 
0.8%
Other values (266)311
81.4%
ValueCountFrequency (%)
-61.061
0.3%
-34.571
0.3%
-28.661
0.3%
-28.261
0.3%
-25.961
0.3%
ValueCountFrequency (%)
166.271
0.3%
161.321
0.3%
154.911
0.3%
154.051
0.3%
132.761
0.3%

国债-新债.82
Real number (ℝ)

ZEROS

Distinct316
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1186125654
Minimum-48.45
Maximum176.61
Zeros44
Zeros (%)11.5%
Negative227
Negative (%)59.4%
Memory size3.1 KiB
2022-03-24T10:34:30.985663image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-48.45
5-th percentile-17.8445
Q1-6.63
median-1.6
Q30.855
95-th percentile12.0145
Maximum176.61
Range225.06
Interquartile range (IQR)7.485

Descriptive statistics

Standard deviation22.39826268
Coefficient of variation (CV)-188.8354964
Kurtosis37.78895
Mean-0.1186125654
Median Absolute Deviation (MAD)3.535
Skewness5.491290448
Sum-45.31
Variance501.682171
MonotonicityNot monotonic
2022-03-24T10:34:31.031690image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
044
 
11.5%
-0.893
 
0.8%
-0.13
 
0.8%
-0.692
 
0.5%
0.922
 
0.5%
-3.422
 
0.5%
0.52
 
0.5%
-1.652
 
0.5%
0.982
 
0.5%
-1.382
 
0.5%
Other values (306)318
83.2%
ValueCountFrequency (%)
-48.451
0.3%
-38.11
0.3%
-36.891
0.3%
-35.141
0.3%
-28.931
0.3%
ValueCountFrequency (%)
176.611
0.3%
175.571
0.3%
174.171
0.3%
162.121
0.3%
105.331
0.3%

国债-新债.83
Real number (ℝ)

ZEROS

Distinct251
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8554973822
Minimum-30.05
Maximum184.07
Zeros103
Zeros (%)27.0%
Negative210
Negative (%)55.0%
Memory size3.1 KiB
2022-03-24T10:34:31.078485image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.05
5-th percentile-14.5035
Q1-5.46
median-0.41
Q30
95-th percentile5.3665
Maximum184.07
Range214.12
Interquartile range (IQR)5.46

Descriptive statistics

Standard deviation15.94181354
Coefficient of variation (CV)-18.63455561
Kurtosis64.13168469
Mean-0.8554973822
Median Absolute Deviation (MAD)1.68
Skewness6.944814672
Sum-326.8
Variance254.141419
MonotonicityNot monotonic
2022-03-24T10:34:31.122604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0103
27.0%
-0.27
 
1.8%
-0.14
 
1.0%
0.23
 
0.8%
-6.12
 
0.5%
-11.742
 
0.5%
-10.52
 
0.5%
-0.412
 
0.5%
-1.282
 
0.5%
-3.442
 
0.5%
Other values (241)253
66.2%
ValueCountFrequency (%)
-30.051
0.3%
-20.991
0.3%
-19.841
0.3%
-19.011
0.3%
-18.721
0.3%
ValueCountFrequency (%)
184.071
0.3%
129.81
0.3%
77.041
0.3%
76.731
0.3%
75.281
0.3%

国债-新债.84
Real number (ℝ)

ZEROS

Distinct319
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.633036649
Minimum-34.7
Maximum166.61
Zeros28
Zeros (%)7.3%
Negative237
Negative (%)62.0%
Memory size3.1 KiB
2022-03-24T10:34:31.169542image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-34.7
5-th percentile-22.7995
Q1-9.2325
median-1.905
Q31.1125
95-th percentile19.6695
Maximum166.61
Range201.31
Interquartile range (IQR)10.345

Descriptive statistics

Standard deviation19.00309792
Coefficient of variation (CV)-11.63666347
Kurtosis34.26907013
Mean-1.633036649
Median Absolute Deviation (MAD)4.85
Skewness4.643416009
Sum-623.82
Variance361.1177304
MonotonicityNot monotonic
2022-03-24T10:34:31.215694image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028
 
7.3%
-0.26
 
1.6%
-0.15
 
1.3%
-2.683
 
0.8%
0.292
 
0.5%
-0.782
 
0.5%
-0.882
 
0.5%
-0.292
 
0.5%
-6.882
 
0.5%
-1.472
 
0.5%
Other values (309)328
85.9%
ValueCountFrequency (%)
-34.71
0.3%
-34.181
0.3%
-33.561
0.3%
-33.391
0.3%
-32.481
0.3%
ValueCountFrequency (%)
166.611
0.3%
159.491
0.3%
108.251
0.3%
93.641
0.3%
92.981
0.3%

国债-新债.85
Real number (ℝ)

ZEROS

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001518324607
Minimum-0.71
Maximum0.77
Zeros370
Zeros (%)96.9%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:31.542311image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.71
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.77
Range1.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07794134971
Coefficient of variation (CV)51.3337855
Kurtosis69.9470325
Mean0.001518324607
Median Absolute Deviation (MAD)0
Skewness2.42676266
Sum0.58
Variance0.006074853994
MonotonicityNot monotonic
2022-03-24T10:34:31.575114image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0370
96.9%
0.12
 
0.5%
-0.121
 
0.3%
0.771
 
0.3%
-0.051
 
0.3%
-0.711
 
0.3%
0.711
 
0.3%
-0.521
 
0.3%
0.521
 
0.3%
-0.221
 
0.3%
Other values (2)2
 
0.5%
ValueCountFrequency (%)
-0.711
0.3%
-0.521
0.3%
-0.221
0.3%
-0.211
0.3%
-0.121
0.3%
ValueCountFrequency (%)
0.771
0.3%
0.711
0.3%
0.521
0.3%
0.211
0.3%
0.12
0.5%

国债-新债.86
Real number (ℝ)

ZEROS

Distinct15
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00112565445
Minimum-1.19
Maximum0.7
Zeros365
Zeros (%)95.5%
Negative9
Negative (%)2.4%
Memory size3.1 KiB
2022-03-24T10:34:31.613227image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.19
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.7
Range1.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09429411697
Coefficient of variation (CV)83.76826205
Kurtosis86.64533196
Mean0.00112565445
Median Absolute Deviation (MAD)0
Skewness-3.111190551
Sum0.43
Variance0.008891380495
MonotonicityNot monotonic
2022-03-24T10:34:31.648322image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0365
95.5%
-0.052
 
0.5%
-0.112
 
0.5%
0.112
 
0.5%
-0.091
 
0.3%
-0.211
 
0.3%
0.211
 
0.3%
0.641
 
0.3%
-0.551
 
0.3%
0.551
 
0.3%
Other values (5)5
 
1.3%
ValueCountFrequency (%)
-1.191
0.3%
-0.551
0.3%
-0.221
0.3%
-0.211
0.3%
-0.112
0.5%
ValueCountFrequency (%)
0.71
0.3%
0.641
0.3%
0.551
0.3%
0.471
0.3%
0.221
0.3%

国债-新债.87
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.806701571
Minimum-37.53
Maximum96.55
Zeros15
Zeros (%)3.9%
Negative259
Negative (%)67.8%
Memory size3.1 KiB
2022-03-24T10:34:31.694410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.53
5-th percentile-13.8745
Q1-6.5275
median-2.31
Q30.6225
95-th percentile8.671
Maximum96.55
Range134.08
Interquartile range (IQR)7.15

Descriptive statistics

Standard deviation11.70722316
Coefficient of variation (CV)-6.479887631
Kurtosis27.28335095
Mean-1.806701571
Median Absolute Deviation (MAD)3.495
Skewness4.060666584
Sum-690.16
Variance137.0590741
MonotonicityNot monotonic
2022-03-24T10:34:31.743190image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
-1.313
 
0.8%
-6.572
 
0.5%
-4.072
 
0.5%
-6.692
 
0.5%
-4.182
 
0.5%
-2.182
 
0.5%
-5.932
 
0.5%
0.412
 
0.5%
-2.282
 
0.5%
Other values (328)348
91.1%
ValueCountFrequency (%)
-37.531
0.3%
-26.81
0.3%
-25.731
0.3%
-21.321
0.3%
-20.931
0.3%
ValueCountFrequency (%)
96.551
0.3%
83.921
0.3%
71.421
0.3%
56.821
0.3%
55.781
0.3%

国债-新债.88
Real number (ℝ)

ZEROS

Distinct194
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003612565445
Minimum-13.18
Maximum131.48
Zeros93
Zeros (%)24.3%
Negative212
Negative (%)55.5%
Memory size3.1 KiB
2022-03-24T10:34:31.790461image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.18
5-th percentile-3.8585
Q1-0.84
median-0.1
Q30
95-th percentile1.3075
Maximum131.48
Range144.66
Interquartile range (IQR)0.84

Descriptive statistics

Standard deviation7.352481577
Coefficient of variation (CV)-2035.252147
Kurtosis271.5106954
Mean-0.003612565445
Median Absolute Deviation (MAD)0.395
Skewness15.43336534
Sum-1.38
Variance54.05898534
MonotonicityNot monotonic
2022-03-24T10:34:31.836163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
093
24.3%
-0.116
 
4.2%
-0.57
 
1.8%
-0.496
 
1.6%
-0.26
 
1.6%
-0.85
 
1.3%
0.15
 
1.3%
-0.64
 
1.0%
-0.44
 
1.0%
-0.694
 
1.0%
Other values (184)232
60.7%
ValueCountFrequency (%)
-13.181
0.3%
-101
0.3%
-9.041
0.3%
-8.251
0.3%
-7.371
0.3%
ValueCountFrequency (%)
131.481
0.3%
36.891
0.3%
16.011
0.3%
10.611
0.3%
9.491
0.3%

国债-新债.89
Real number (ℝ)

ZEROS

Distinct357
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.711937173
Minimum-88.6
Maximum321.28
Zeros13
Zeros (%)3.4%
Negative266
Negative (%)69.6%
Memory size3.1 KiB
2022-03-24T10:34:31.887336image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-88.6
5-th percentile-56.366
Q1-26.815
median-10.555
Q30.8075
95-th percentile88.43
Maximum321.28
Range409.88
Interquartile range (IQR)27.6225

Descriptive statistics

Standard deviation48.82084716
Coefficient of variation (CV)-13.15239049
Kurtosis12.49522442
Mean-3.711937173
Median Absolute Deviation (MAD)13.09
Skewness2.827597944
Sum-1417.96
Variance2383.475117
MonotonicityNot monotonic
2022-03-24T10:34:31.935880image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-46.642
 
0.5%
-48.962
 
0.5%
0.332
 
0.5%
-7.222
 
0.5%
-17.992
 
0.5%
-4.292
 
0.5%
-14.012
 
0.5%
-14.612
 
0.5%
-16.852
 
0.5%
Other values (347)351
91.9%
ValueCountFrequency (%)
-88.61
0.3%
-85.361
0.3%
-84.71
0.3%
-84.621
0.3%
-78.471
0.3%
ValueCountFrequency (%)
321.281
0.3%
311.851
0.3%
229.891
0.3%
210.051
0.3%
178.861
0.3%

国债-老债
Real number (ℝ)

ZEROS

Distinct61
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003481675393
Minimum-8.78
Maximum5.07
Zeros292
Zeros (%)76.4%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:31.983174image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.78
5-th percentile-0.605
Q10
median0
Q30
95-th percentile1.1195
Maximum5.07
Range13.85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.055461324
Coefficient of variation (CV)-303.1475383
Kurtosis22.94695816
Mean-0.003481675393
Median Absolute Deviation (MAD)0
Skewness-1.897347434
Sum-1.33
Variance1.113998607
MonotonicityNot monotonic
2022-03-24T10:34:32.028046image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0292
76.4%
-0.56
 
1.6%
-0.14
 
1.0%
-0.514
 
1.0%
0.54
 
1.0%
0.14
 
1.0%
0.24
 
1.0%
1.013
 
0.8%
-0.43
 
0.8%
-0.612
 
0.5%
Other values (51)56
 
14.7%
ValueCountFrequency (%)
-8.781
0.3%
-6.621
0.3%
-4.291
0.3%
-4.241
0.3%
-4.191
0.3%
ValueCountFrequency (%)
5.071
0.3%
5.031
0.3%
4.991
0.3%
3.041
0.3%
31
0.3%

国债-老债.1
Real number (ℝ)

ZEROS

Distinct110
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06314136126
Minimum-59.58
Maximum16.38
Zeros205
Zeros (%)53.7%
Negative82
Negative (%)21.5%
Memory size3.1 KiB
2022-03-24T10:34:32.077237image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-59.58
5-th percentile-1.6155
Q10
median0
Q30
95-th percentile3.763
Maximum16.38
Range75.96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.498665953
Coefficient of variation (CV)-71.24752877
Kurtosis91.37772442
Mean-0.06314136126
Median Absolute Deviation (MAD)0
Skewness-7.538790709
Sum-24.12
Variance20.23799536
MonotonicityNot monotonic
2022-03-24T10:34:32.124920image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0205
53.7%
0.38
 
2.1%
0.58
 
2.1%
0.27
 
1.8%
-0.515
 
1.3%
-0.315
 
1.3%
-0.45
 
1.3%
-0.714
 
1.0%
-0.54
 
1.0%
0.514
 
1.0%
Other values (100)127
33.2%
ValueCountFrequency (%)
-59.581
0.3%
-32.691
0.3%
-23.191
0.3%
-22.91
0.3%
-14.661
0.3%
ValueCountFrequency (%)
16.381
0.3%
16.21
0.3%
10.921
0.3%
9.171
0.3%
8.591
0.3%

国债-老债.2
Real number (ℝ)

ZEROS

Distinct84
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03494764398
Minimum-3.63
Maximum4.1
Zeros270
Zeros (%)70.7%
Negative66
Negative (%)17.3%
Memory size3.1 KiB
2022-03-24T10:34:32.176018image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.63
5-th percentile-1.1675
Q10
median0
Q30
95-th percentile1.0275
Maximum4.1
Range7.73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7329370481
Coefficient of variation (CV)-20.97243089
Kurtosis10.57663733
Mean-0.03494764398
Median Absolute Deviation (MAD)0
Skewness0.2049737262
Sum-13.35
Variance0.5371967164
MonotonicityNot monotonic
2022-03-24T10:34:32.223021image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0270
70.7%
-0.16
 
1.6%
-0.194
 
1.0%
0.493
 
0.8%
-0.293
 
0.8%
0.193
 
0.8%
0.293
 
0.8%
-0.513
 
0.8%
0.483
 
0.8%
0.322
 
0.5%
Other values (74)82
 
21.5%
ValueCountFrequency (%)
-3.631
0.3%
-3.341
0.3%
-3.191
0.3%
-2.991
0.3%
-2.411
0.3%
ValueCountFrequency (%)
4.11
0.3%
3.691
0.3%
3.421
0.3%
2.711
0.3%
2.421
0.3%

国债-老债.3
Real number (ℝ)

ZEROS

Distinct48
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1056020942
Minimum-4.92
Maximum2.89
Zeros295
Zeros (%)77.2%
Negative60
Negative (%)15.7%
Memory size3.1 KiB
2022-03-24T10:34:32.272369image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.92
5-th percentile-1.03
Q10
median0
Q30
95-th percentile0.2095
Maximum2.89
Range7.81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6156029235
Coefficient of variation (CV)-5.82945753
Kurtosis20.78675108
Mean-0.1056020942
Median Absolute Deviation (MAD)0
Skewness-2.876255632
Sum-40.34
Variance0.3789669594
MonotonicityNot monotonic
2022-03-24T10:34:32.319034image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0295
77.2%
-0.27
 
1.8%
0.27
 
1.8%
-0.55
 
1.3%
-0.35
 
1.3%
-0.314
 
1.0%
0.34
 
1.0%
-2.063
 
0.8%
-0.13
 
0.8%
-1.033
 
0.8%
Other values (38)46
 
12.0%
ValueCountFrequency (%)
-4.921
0.3%
-41
0.3%
-3.851
0.3%
-2.471
0.3%
-2.381
0.3%
ValueCountFrequency (%)
2.891
0.3%
2.031
0.3%
1.981
0.3%
1.582
0.5%
1.011
0.3%

国债-老债.4
Real number (ℝ)

ZEROS

Distinct147
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2244764398
Minimum-29.61
Maximum14.14
Zeros155
Zeros (%)40.6%
Negative148
Negative (%)38.7%
Memory size3.1 KiB
2022-03-24T10:34:32.369361image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.61
5-th percentile-2.21
Q1-0.48
median0
Q30
95-th percentile1.848
Maximum14.14
Range43.75
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation2.556641932
Coefficient of variation (CV)-11.38935531
Kurtosis57.27083694
Mean-0.2244764398
Median Absolute Deviation (MAD)0.2
Skewness-4.653175618
Sum-85.75
Variance6.536417967
MonotonicityNot monotonic
2022-03-24T10:34:32.414980image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0155
40.6%
-0.19
 
2.4%
0.18
 
2.1%
-0.296
 
1.6%
-0.196
 
1.6%
-0.25
 
1.3%
-0.215
 
1.3%
-0.485
 
1.3%
-0.115
 
1.3%
1.054
 
1.0%
Other values (137)174
45.5%
ValueCountFrequency (%)
-29.611
0.3%
-18.611
0.3%
-121
0.3%
-9.661
0.3%
-9.321
0.3%
ValueCountFrequency (%)
14.141
0.3%
10.171
0.3%
8.211
0.3%
7.181
0.3%
6.281
0.3%

国债-老债.5
Real number (ℝ)

ZEROS

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01808900524
Minimum-2.47
Maximum0
Zeros372
Zeros (%)97.4%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:32.454313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range2.47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1584861534
Coefficient of variation (CV)-8.761463184
Kurtosis165.1450221
Mean-0.01808900524
Median Absolute Deviation (MAD)0
Skewness-12.01962579
Sum-6.91
Variance0.02511786082
MonotonicityNot monotonic
2022-03-24T10:34:32.490195image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0372
97.4%
-0.212
 
0.5%
-0.711
 
0.3%
-0.311
 
0.3%
-0.511
 
0.3%
-0.11
 
0.3%
-2.471
 
0.3%
-0.111
 
0.3%
-1.251
 
0.3%
-1.031
 
0.3%
ValueCountFrequency (%)
-2.471
0.3%
-1.251
0.3%
-1.031
0.3%
-0.711
0.3%
-0.511
0.3%
ValueCountFrequency (%)
0372
97.4%
-0.11
 
0.3%
-0.111
 
0.3%
-0.212
 
0.5%
-0.311
 
0.3%

国债-老债.6
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04547120419
Minimum-3.43
Maximum0
Zeros366
Zeros (%)95.8%
Negative16
Negative (%)4.2%
Memory size3.1 KiB
2022-03-24T10:34:32.526660image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range3.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3122833745
Coefficient of variation (CV)-6.867717275
Kurtosis77.96227973
Mean-0.04547120419
Median Absolute Deviation (MAD)0
Skewness-8.5437176
Sum-17.37
Variance0.09752090599
MonotonicityNot monotonic
2022-03-24T10:34:32.561709image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0366
95.8%
-0.112
 
0.5%
-3.431
 
0.3%
-2.221
 
0.3%
-1.661
 
0.3%
-0.651
 
0.3%
-0.581
 
0.3%
-0.461
 
0.3%
-3.191
 
0.3%
-0.341
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-3.431
0.3%
-3.191
0.3%
-2.371
0.3%
-2.221
0.3%
-1.661
0.3%
ValueCountFrequency (%)
0366
95.8%
-0.11
 
0.3%
-0.112
 
0.5%
-0.311
 
0.3%
-0.331
 
0.3%

国债-老债.7
Real number (ℝ)

ZEROS

Distinct195
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1284031414
Minimum-18.95
Maximum33.33
Zeros121
Zeros (%)31.7%
Negative134
Negative (%)35.1%
Memory size3.1 KiB
2022-03-24T10:34:32.605851image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.95
5-th percentile-2.4435
Q1-0.3275
median0
Q30.315
95-th percentile2.5215
Maximum33.33
Range52.28
Interquartile range (IQR)0.6425

Descriptive statistics

Standard deviation2.993799071
Coefficient of variation (CV)23.31562171
Kurtosis57.83312035
Mean0.1284031414
Median Absolute Deviation (MAD)0.32
Skewness3.929621036
Sum49.05
Variance8.962832876
MonotonicityNot monotonic
2022-03-24T10:34:32.654691image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0121
31.7%
-0.226
 
1.6%
-0.15
 
1.3%
0.195
 
1.3%
-0.115
 
1.3%
0.214
 
1.0%
-0.314
 
1.0%
0.323
 
0.8%
0.093
 
0.8%
-0.463
 
0.8%
Other values (185)223
58.4%
ValueCountFrequency (%)
-18.951
0.3%
-17.831
0.3%
-7.771
0.3%
-7.051
0.3%
-4.861
0.3%
ValueCountFrequency (%)
33.331
0.3%
24.271
0.3%
11.681
0.3%
8.11
0.3%
7.961
0.3%

国债-老债.8
Real number (ℝ)

ZEROS

Distinct103
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1906544503
Minimum-4.02
Maximum6.16
Zeros224
Zeros (%)58.6%
Negative45
Negative (%)11.8%
Memory size3.1 KiB
2022-03-24T10:34:32.703972image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.02
5-th percentile-0.5195
Q10
median0
Q30.21
95-th percentile1.469
Maximum6.16
Range10.18
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.8946794267
Coefficient of variation (CV)4.692675285
Kurtosis17.55150384
Mean0.1906544503
Median Absolute Deviation (MAD)0
Skewness2.392136236
Sum72.83
Variance0.8004512766
MonotonicityNot monotonic
2022-03-24T10:34:32.754534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0224
58.6%
0.217
 
1.8%
0.226
 
1.6%
-0.216
 
1.6%
0.16
 
1.6%
0.515
 
1.3%
-0.513
 
0.8%
-0.13
 
0.8%
0.823
 
0.8%
0.553
 
0.8%
Other values (93)116
30.4%
ValueCountFrequency (%)
-4.021
0.3%
-3.731
0.3%
-2.661
0.3%
-2.321
0.3%
-2.241
0.3%
ValueCountFrequency (%)
6.161
0.3%
5.861
0.3%
5.671
0.3%
4.521
0.3%
3.931
0.3%

国债-老债.9
Real number (ℝ)

ZEROS

Distinct286
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1762565445
Minimum-61.88
Maximum31.33
Zeros37
Zeros (%)9.7%
Negative175
Negative (%)45.8%
Memory size3.1 KiB
2022-03-24T10:34:32.804103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.88
5-th percentile-6.0295
Q1-1.2
median0
Q31.5275
95-th percentile7.1265
Maximum31.33
Range93.21
Interquartile range (IQR)2.7275

Descriptive statistics

Standard deviation6.497427059
Coefficient of variation (CV)-36.86346557
Kurtosis28.2465497
Mean-0.1762565445
Median Absolute Deviation (MAD)1.25
Skewness-3.206523768
Sum-67.33
Variance42.21655839
MonotonicityNot monotonic
2022-03-24T10:34:32.851149image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037
 
9.7%
-0.14
 
1.0%
-0.014
 
1.0%
-0.943
 
0.8%
-0.323
 
0.8%
-0.253
 
0.8%
-0.263
 
0.8%
-0.413
 
0.8%
0.643
 
0.8%
-1.922
 
0.5%
Other values (276)317
83.0%
ValueCountFrequency (%)
-61.881
0.3%
-38.431
0.3%
-28.91
0.3%
-25.811
0.3%
-25.231
0.3%
ValueCountFrequency (%)
31.331
0.3%
19.51
0.3%
17.441
0.3%
161
0.3%
15.981
0.3%

国债-老债.10
Real number (ℝ)

ZEROS

Distinct344
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.912277487
Minimum-49.74
Maximum53.7
Zeros13
Zeros (%)3.4%
Negative89
Negative (%)23.3%
Memory size3.1 KiB
2022-03-24T10:34:32.899864image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.74
5-th percentile-6.8375
Q10
median3.64
Q38.5775
95-th percentile20.821
Maximum53.7
Range103.44
Interquartile range (IQR)8.5775

Descriptive statistics

Standard deviation9.747975538
Coefficient of variation (CV)1.984410605
Kurtosis6.522144721
Mean4.912277487
Median Absolute Deviation (MAD)4.03
Skewness0.7246056761
Sum1876.49
Variance95.02302708
MonotonicityNot monotonic
2022-03-24T10:34:32.946257image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
0.93
 
0.8%
-0.622
 
0.5%
3.052
 
0.5%
3.772
 
0.5%
3.282
 
0.5%
1.442
 
0.5%
0.222
 
0.5%
0.742
 
0.5%
2.82
 
0.5%
Other values (334)350
91.6%
ValueCountFrequency (%)
-49.741
0.3%
-25.791
0.3%
-19.441
0.3%
-19.331
0.3%
-18.321
0.3%
ValueCountFrequency (%)
53.71
0.3%
50.911
0.3%
44.781
0.3%
41.631
0.3%
36.661
0.3%

国债-老债.11
Real number (ℝ)

ZEROS

Distinct329
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.341649215
Minimum-38.46
Maximum56.4
Zeros14
Zeros (%)3.7%
Negative119
Negative (%)31.2%
Memory size3.1 KiB
2022-03-24T10:34:32.993373image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.46
5-th percentile-8.4575
Q1-0.94
median2.095
Q35.7675
95-th percentile14.2695
Maximum56.4
Range94.86
Interquartile range (IQR)6.7075

Descriptive statistics

Standard deviation7.724689133
Coefficient of variation (CV)3.298824215
Kurtosis10.26440653
Mean2.341649215
Median Absolute Deviation (MAD)3.4
Skewness0.3419410819
Sum894.51
Variance59.67082221
MonotonicityNot monotonic
2022-03-24T10:34:33.042347image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
1.333
 
0.8%
2.743
 
0.8%
-0.613
 
0.8%
-2.182
 
0.5%
2.282
 
0.5%
-0.82
 
0.5%
2.652
 
0.5%
-1.032
 
0.5%
-1.682
 
0.5%
Other values (319)347
90.8%
ValueCountFrequency (%)
-38.461
0.3%
-36.131
0.3%
-26.431
0.3%
-20.81
0.3%
-20.731
0.3%
ValueCountFrequency (%)
56.41
0.3%
32.491
0.3%
24.521
0.3%
23.411
0.3%
23.221
0.3%

国债-老债.12
Real number (ℝ)

ZEROS

Distinct308
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1953664921
Minimum-68.19
Maximum19.2
Zeros18
Zeros (%)4.7%
Negative169
Negative (%)44.2%
Memory size3.1 KiB
2022-03-24T10:34:33.092030image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-68.19
5-th percentile-6.826
Q1-1.545
median0.1
Q31.8775
95-th percentile6.149
Maximum19.2
Range87.39
Interquartile range (IQR)3.4225

Descriptive statistics

Standard deviation5.610597888
Coefficient of variation (CV)-28.7183223
Kurtosis64.73731596
Mean-0.1953664921
Median Absolute Deviation (MAD)1.745
Skewness-5.810505912
Sum-74.63
Variance31.47880866
MonotonicityNot monotonic
2022-03-24T10:34:33.137325image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
0.494
 
1.0%
0.973
 
0.8%
0.483
 
0.8%
0.513
 
0.8%
0.393
 
0.8%
1.843
 
0.8%
-0.193
 
0.8%
0.633
 
0.8%
0.113
 
0.8%
Other values (298)336
88.0%
ValueCountFrequency (%)
-68.191
0.3%
-42.91
0.3%
-16.281
0.3%
-12.811
0.3%
-11.691
0.3%
ValueCountFrequency (%)
19.21
0.3%
11.661
0.3%
11.221
0.3%
9.731
0.3%
9.541
0.3%

国债-老债.13
Real number (ℝ)

ZEROS

Distinct281
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8682198953
Minimum-37.7
Maximum10.77
Zeros20
Zeros (%)5.2%
Negative214
Negative (%)56.0%
Memory size3.1 KiB
2022-03-24T10:34:33.182468image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.7
5-th percentile-6.4945
Q1-2.0675
median-0.295
Q30.87
95-th percentile3.557
Maximum10.77
Range48.47
Interquartile range (IQR)2.9375

Descriptive statistics

Standard deviation3.767609429
Coefficient of variation (CV)-4.339464518
Kurtosis25.50364681
Mean-0.8682198953
Median Absolute Deviation (MAD)1.485
Skewness-3.062476321
Sum-331.66
Variance14.19488081
MonotonicityNot monotonic
2022-03-24T10:34:33.229670image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
 
5.2%
-0.37
 
1.8%
-0.27
 
1.8%
-0.45
 
1.3%
0.35
 
1.3%
0.14
 
1.0%
-1.314
 
1.0%
0.24
 
1.0%
-0.64
 
1.0%
0.493
 
0.8%
Other values (271)319
83.5%
ValueCountFrequency (%)
-37.71
0.3%
-19.791
0.3%
-13.671
0.3%
-12.861
0.3%
-11.71
0.3%
ValueCountFrequency (%)
10.771
0.3%
8.391
0.3%
7.71
0.3%
6.71
0.3%
6.681
0.3%

国债-老债.14
Real number (ℝ)

ZEROS

Distinct332
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.037879581
Minimum-80.62
Maximum41.49
Zeros13
Zeros (%)3.4%
Negative141
Negative (%)36.9%
Memory size3.1 KiB
2022-03-24T10:34:33.275328image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-80.62
5-th percentile-9.606
Q1-2.025
median0.98
Q34
95-th percentile13.778
Maximum41.49
Range122.11
Interquartile range (IQR)6.025

Descriptive statistics

Standard deviation8.947222092
Coefficient of variation (CV)8.62067455
Kurtosis21.4751879
Mean1.037879581
Median Absolute Deviation (MAD)3.02
Skewness-1.593722232
Sum396.47
Variance80.05278316
MonotonicityNot monotonic
2022-03-24T10:34:33.323794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.574
 
1.0%
4.353
 
0.8%
1.273
 
0.8%
3.442
 
0.5%
-3.12
 
0.5%
0.092
 
0.5%
-4.212
 
0.5%
1.052
 
0.5%
5.882
 
0.5%
Other values (322)347
90.8%
ValueCountFrequency (%)
-80.621
0.3%
-32.431
0.3%
-30.131
0.3%
-27.021
0.3%
-24.31
0.3%
ValueCountFrequency (%)
41.491
0.3%
41.121
0.3%
33.531
0.3%
31.861
0.3%
25.381
0.3%

国债-老债.15
Real number (ℝ)

ZEROS

Distinct41
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009764397906
Minimum-6.89
Maximum3.33
Zeros332
Zeros (%)86.9%
Negative27
Negative (%)7.1%
Memory size3.1 KiB
2022-03-24T10:34:33.370514image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.89
5-th percentile-0.33
Q10
median0
Q30
95-th percentile0.2295
Maximum3.33
Range10.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5897392074
Coefficient of variation (CV)-60.39688398
Kurtosis59.38810194
Mean-0.009764397906
Median Absolute Deviation (MAD)0
Skewness-3.857523546
Sum-3.73
Variance0.3477923328
MonotonicityNot monotonic
2022-03-24T10:34:33.415177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0332
86.9%
-0.12
 
0.5%
-1.092
 
0.5%
-0.112
 
0.5%
-0.332
 
0.5%
1.992
 
0.5%
-0.552
 
0.5%
0.582
 
0.5%
-0.512
 
0.5%
0.612
 
0.5%
Other values (31)32
 
8.4%
ValueCountFrequency (%)
-6.891
0.3%
-3.331
0.3%
-3.251
0.3%
-2.131
0.3%
-1.431
0.3%
ValueCountFrequency (%)
3.331
0.3%
3.251
0.3%
2.481
0.3%
1.992
0.5%
1.781
0.3%

国债-老债.16
Real number (ℝ)

ZEROS

Distinct25
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02808900524
Minimum-1.14
Maximum3.13
Zeros356
Zeros (%)93.2%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:33.456388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.14
5-th percentile0
Q10
median0
Q30
95-th percentile0.1045
Maximum3.13
Range4.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2608139137
Coefficient of variation (CV)9.285267011
Kurtosis82.02721787
Mean0.02808900524
Median Absolute Deviation (MAD)0
Skewness7.231452385
Sum10.73
Variance0.06802389757
MonotonicityNot monotonic
2022-03-24T10:34:33.493306image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0356
93.2%
0.572
 
0.5%
0.322
 
0.5%
0.661
 
0.3%
0.331
 
0.3%
0.211
 
0.3%
0.221
 
0.3%
0.551
 
0.3%
-1.141
 
0.3%
-0.421
 
0.3%
Other values (15)15
 
3.9%
ValueCountFrequency (%)
-1.141
0.3%
-1.11
0.3%
-0.631
0.3%
-0.541
0.3%
-0.421
0.3%
ValueCountFrequency (%)
3.131
0.3%
2.651
0.3%
1.091
0.3%
1.051
0.3%
1.041
0.3%

国债-老债.17
Real number (ℝ)

ZEROS

Distinct254
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5895026178
Minimum-12.51
Maximum20.12
Zeros57
Zeros (%)14.9%
Negative135
Negative (%)35.3%
Memory size3.1 KiB
2022-03-24T10:34:33.538449image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.51
5-th percentile-3.2345
Q1-0.455
median0
Q31.26
95-th percentile5.862
Maximum20.12
Range32.63
Interquartile range (IQR)1.715

Descriptive statistics

Standard deviation3.291899549
Coefficient of variation (CV)5.584198355
Kurtosis8.995899472
Mean0.5895026178
Median Absolute Deviation (MAD)0.825
Skewness1.429734706
Sum225.19
Variance10.83660264
MonotonicityNot monotonic
2022-03-24T10:34:33.584738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
057
 
14.9%
-0.445
 
1.3%
0.214
 
1.0%
-0.14
 
1.0%
0.094
 
1.0%
0.114
 
1.0%
0.324
 
1.0%
-0.193
 
0.8%
0.643
 
0.8%
-0.473
 
0.8%
Other values (244)291
76.2%
ValueCountFrequency (%)
-12.511
0.3%
-12.351
0.3%
-9.111
0.3%
-8.741
0.3%
-81
0.3%
ValueCountFrequency (%)
20.121
0.3%
16.391
0.3%
15.931
0.3%
15.321
0.3%
15.261
0.3%

国债-老债.18
Real number (ℝ)

ZEROS

Distinct44
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08968586387
Minimum-15.63
Maximum11.25
Zeros320
Zeros (%)83.8%
Negative39
Negative (%)10.2%
Memory size3.1 KiB
2022-03-24T10:34:33.630816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.63
5-th percentile-0.54
Q10
median0
Q30
95-th percentile0.176
Maximum11.25
Range26.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.409509662
Coefficient of variation (CV)-15.71607387
Kurtosis65.08377018
Mean-0.08968586387
Median Absolute Deviation (MAD)0
Skewness-3.956112566
Sum-34.26
Variance1.986717486
MonotonicityNot monotonic
2022-03-24T10:34:33.677673image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0320
83.8%
-0.25
 
1.3%
-0.414
 
1.0%
-0.13
 
0.8%
0.13
 
0.8%
-0.112
 
0.5%
-0.922
 
0.5%
-0.342
 
0.5%
0.552
 
0.5%
0.22
 
0.5%
Other values (34)37
 
9.7%
ValueCountFrequency (%)
-15.631
0.3%
-11.251
0.3%
-7.791
0.3%
-7.671
0.3%
-4.411
0.3%
ValueCountFrequency (%)
11.251
0.3%
6.761
0.3%
4.921
0.3%
3.971
0.3%
1.171
0.3%

国债-老债.19
Real number (ℝ)

ZEROS

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.746727749
Minimum-79.76
Maximum83.11
Zeros11
Zeros (%)2.9%
Negative108
Negative (%)28.3%
Memory size3.1 KiB
2022-03-24T10:34:33.724738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-79.76
5-th percentile-26.7385
Q1-2.1275
median7.35
Q319.285
95-th percentile38.9245
Maximum83.11
Range162.87
Interquartile range (IQR)21.4125

Descriptive statistics

Standard deviation20.90505814
Coefficient of variation (CV)2.698566261
Kurtosis2.261469494
Mean7.746727749
Median Absolute Deviation (MAD)10.93
Skewness-0.378405473
Sum2959.25
Variance437.0214557
MonotonicityNot monotonic
2022-03-24T10:34:33.772366image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
6.22
 
0.5%
7.992
 
0.5%
6.492
 
0.5%
18.142
 
0.5%
6.822
 
0.5%
17.182
 
0.5%
-13.192
 
0.5%
-2.292
 
0.5%
28.082
 
0.5%
Other values (349)353
92.4%
ValueCountFrequency (%)
-79.761
0.3%
-71.491
0.3%
-61.771
0.3%
-61.111
0.3%
-52.231
0.3%
ValueCountFrequency (%)
83.111
0.3%
75.391
0.3%
69.571
0.3%
60.881
0.3%
56.891
0.3%

国债-老债.20
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.393848168
Minimum-113.48
Maximum43.05
Zeros16
Zeros (%)4.2%
Negative232
Negative (%)60.7%
Memory size3.1 KiB
2022-03-24T10:34:33.823026image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-113.48
5-th percentile-30.049
Q1-9.12
median-1.92
Q33.2175
95-th percentile14.893
Maximum43.05
Range156.53
Interquartile range (IQR)12.3375

Descriptive statistics

Standard deviation14.92849486
Coefficient of variation (CV)-3.397590059
Kurtosis9.175975067
Mean-4.393848168
Median Absolute Deviation (MAD)6.105
Skewness-1.805006351
Sum-1678.45
Variance222.8599586
MonotonicityNot monotonic
2022-03-24T10:34:33.869922image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016
 
4.2%
6.343
 
0.8%
7.912
 
0.5%
7.212
 
0.5%
-5.112
 
0.5%
-1.542
 
0.5%
-13.732
 
0.5%
3.592
 
0.5%
3.882
 
0.5%
-8.882
 
0.5%
Other values (335)347
90.8%
ValueCountFrequency (%)
-113.481
0.3%
-61.851
0.3%
-61.281
0.3%
-59.751
0.3%
-58.421
0.3%
ValueCountFrequency (%)
43.051
0.3%
33.151
0.3%
29.881
0.3%
27.741
0.3%
26.311
0.3%

国债-老债.21
Real number (ℝ)

ZEROS

Distinct343
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.318062827
Minimum-96.91
Maximum44.78
Zeros17
Zeros (%)4.5%
Negative214
Negative (%)56.0%
Memory size3.1 KiB
2022-03-24T10:34:33.920807image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-96.91
5-th percentile-24.008
Q1-6.175
median-0.725
Q32.5175
95-th percentile15.2555
Maximum44.78
Range141.69
Interquartile range (IQR)8.6925

Descriptive statistics

Standard deviation16.47456821
Coefficient of variation (CV)-4.965116416
Kurtosis14.37253205
Mean-3.318062827
Median Absolute Deviation (MAD)4.365
Skewness-2.984730377
Sum-1267.5
Variance271.4113978
MonotonicityNot monotonic
2022-03-24T10:34:33.969404image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
4.5%
-8.73
 
0.8%
1.023
 
0.8%
-3.792
 
0.5%
2.952
 
0.5%
-0.712
 
0.5%
-1.042
 
0.5%
0.182
 
0.5%
1.622
 
0.5%
-6.442
 
0.5%
Other values (333)345
90.3%
ValueCountFrequency (%)
-96.911
0.3%
-95.651
0.3%
-92.821
0.3%
-89.671
0.3%
-86.331
0.3%
ValueCountFrequency (%)
44.781
0.3%
37.751
0.3%
37.321
0.3%
27.621
0.3%
23.971
0.3%

国债-老债.22
Real number (ℝ)

ZEROS

Distinct313
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2614659686
Minimum-126.41
Maximum26.41
Zeros27
Zeros (%)7.1%
Negative167
Negative (%)43.7%
Memory size3.1 KiB
2022-03-24T10:34:34.019890image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-126.41
5-th percentile-7.222
Q1-1.57
median0
Q32.25
95-th percentile9.468
Maximum26.41
Range152.82
Interquartile range (IQR)3.82

Descriptive statistics

Standard deviation10.49026958
Coefficient of variation (CV)-40.12097496
Kurtosis79.03757311
Mean-0.2614659686
Median Absolute Deviation (MAD)2.08
Skewness-7.610599912
Sum-99.88
Variance110.0457559
MonotonicityNot monotonic
2022-03-24T10:34:34.067802image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
7.1%
-0.14
 
1.0%
-1.453
 
0.8%
0.113
 
0.8%
-0.123
 
0.8%
-0.193
 
0.8%
2.13
 
0.8%
-1.822
 
0.5%
-1.572
 
0.5%
-2.272
 
0.5%
Other values (303)330
86.4%
ValueCountFrequency (%)
-126.411
0.3%
-88.181
0.3%
-87.131
0.3%
-31.211
0.3%
-23.491
0.3%
ValueCountFrequency (%)
26.411
0.3%
17.811
0.3%
16.351
0.3%
16.071
0.3%
15.131
0.3%

国债-老债.23
Real number (ℝ)

ZEROS

Distinct269
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.453010471
Minimum-117.95
Maximum9.8
Zeros33
Zeros (%)8.6%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:34.116911image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-117.95
5-th percentile-5.801
Q1-1.3125
median0
Q31.3925
95-th percentile4.777
Maximum9.8
Range127.75
Interquartile range (IQR)2.705

Descriptive statistics

Standard deviation11.51750349
Coefficient of variation (CV)-7.926648652
Kurtosis65.89090853
Mean-1.453010471
Median Absolute Deviation (MAD)1.35
Skewness-7.697861498
Sum-555.05
Variance132.6528867
MonotonicityNot monotonic
2022-03-24T10:34:34.164962image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
033
 
8.6%
-0.18
 
2.1%
-0.36
 
1.6%
1.035
 
1.3%
0.35
 
1.3%
-0.694
 
1.0%
1.023
 
0.8%
0.13
 
0.8%
0.523
 
0.8%
-0.513
 
0.8%
Other values (259)309
80.9%
ValueCountFrequency (%)
-117.951
0.3%
-109.71
0.3%
-97.121
0.3%
-78.891
0.3%
-57.811
0.3%
ValueCountFrequency (%)
9.81
0.3%
9.651
0.3%
9.291
0.3%
8.711
0.3%
7.651
0.3%

国债-老债.24
Real number (ℝ)

ZEROS

Distinct318
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01965968586
Minimum-86.99
Maximum22.94
Zeros18
Zeros (%)4.7%
Negative151
Negative (%)39.5%
Memory size3.1 KiB
2022-03-24T10:34:34.213984image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-86.99
5-th percentile-9.3375
Q1-1.7375
median0.39
Q32.965
95-th percentile9.6625
Maximum22.94
Range109.93
Interquartile range (IQR)4.7025

Descriptive statistics

Standard deviation8.736548935
Coefficient of variation (CV)-444.3890403
Kurtosis53.91711225
Mean-0.01965968586
Median Absolute Deviation (MAD)2.32
Skewness-5.988729287
Sum-7.51
Variance76.32728729
MonotonicityNot monotonic
2022-03-24T10:34:34.259406image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
0.16
 
1.6%
0.194
 
1.0%
-0.974
 
1.0%
-0.193
 
0.8%
0.83
 
0.8%
-0.733
 
0.8%
0.393
 
0.8%
-1.732
 
0.5%
0.482
 
0.5%
Other values (308)334
87.4%
ValueCountFrequency (%)
-86.991
0.3%
-77.071
0.3%
-74.411
0.3%
-18.831
0.3%
-18.571
0.3%
ValueCountFrequency (%)
22.941
0.3%
15.111
0.3%
13.831
0.3%
13.371
0.3%
13.291
0.3%

国债-老债.25
Real number (ℝ)

ZEROS

Distinct21
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0219895288
Minimum-3.33
Maximum3.33
Zeros359
Zeros (%)94.0%
Negative13
Negative (%)3.4%
Memory size3.1 KiB
2022-03-24T10:34:34.586847image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.33
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.33
Range6.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4288845569
Coefficient of variation (CV)-19.5040358
Kurtosis35.92421638
Mean-0.0219895288
Median Absolute Deviation (MAD)0
Skewness-1.522172953
Sum-8.4
Variance0.1839419631
MonotonicityNot monotonic
2022-03-24T10:34:34.622206image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0359
94.0%
-0.612
 
0.5%
1.092
 
0.5%
-1.092
 
0.5%
-3.331
 
0.3%
0.581
 
0.3%
0.221
 
0.3%
0.331
 
0.3%
0.551
 
0.3%
2.141
 
0.3%
Other values (11)11
 
2.9%
ValueCountFrequency (%)
-3.331
0.3%
-2.781
0.3%
-2.731
0.3%
-2.471
0.3%
-2.231
0.3%
ValueCountFrequency (%)
3.331
0.3%
2.471
0.3%
2.141
0.3%
1.092
0.5%
0.581
0.3%

国债-老债.26
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004712041885
Minimum-0.52
Maximum1.14
Zeros376
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:34.658410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.52
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.14
Range1.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08282604109
Coefficient of variation (CV)17.5775265
Kurtosis112.5870945
Mean0.004712041885
Median Absolute Deviation (MAD)0
Skewness7.988697695
Sum1.8
Variance0.006860153083
MonotonicityNot monotonic
2022-03-24T10:34:34.690003image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0376
98.4%
0.631
 
0.3%
0.421
 
0.3%
-0.421
 
0.3%
-0.521
 
0.3%
1.141
 
0.3%
0.551
 
0.3%
ValueCountFrequency (%)
-0.521
 
0.3%
-0.421
 
0.3%
0376
98.4%
0.421
 
0.3%
0.551
 
0.3%
ValueCountFrequency (%)
1.141
 
0.3%
0.631
 
0.3%
0.551
 
0.3%
0.421
 
0.3%
0376
98.4%

国债-老债.27
Real number (ℝ)

ZEROS

Distinct223
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2869371728
Minimum-12.69
Maximum9.07
Zeros76
Zeros (%)19.9%
Negative109
Negative (%)28.5%
Memory size3.1 KiB
2022-03-24T10:34:34.733551image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.69
5-th percentile-4.6525
Q1-0.19
median0.09
Q31.0825
95-th percentile4.7505
Maximum9.07
Range21.76
Interquartile range (IQR)1.2725

Descriptive statistics

Standard deviation2.620794853
Coefficient of variation (CV)9.13368884
Kurtosis4.684134834
Mean0.2869371728
Median Absolute Deviation (MAD)0.625
Skewness-0.4908719297
Sum109.61
Variance6.86856566
MonotonicityNot monotonic
2022-03-24T10:34:34.778797image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
076
 
19.9%
0.097
 
1.8%
0.26
 
1.6%
0.16
 
1.6%
0.345
 
1.3%
0.415
 
1.3%
-0.474
 
1.0%
-0.194
 
1.0%
0.194
 
1.0%
0.624
 
1.0%
Other values (213)261
68.3%
ValueCountFrequency (%)
-12.691
0.3%
-12.031
0.3%
-8.911
0.3%
-7.731
0.3%
-7.191
0.3%
ValueCountFrequency (%)
9.071
0.3%
9.021
0.3%
8.781
0.3%
8.61
0.3%
8.471
0.3%

国债-老债.28
Real number (ℝ)

ZEROS

Distinct34
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01492146597
Minimum-14.28
Maximum11.44
Zeros343
Zeros (%)89.8%
Negative24
Negative (%)6.3%
Memory size3.1 KiB
2022-03-24T10:34:34.821193image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-14.28
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0
Maximum11.44
Range25.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.123580408
Coefficient of variation (CV)-75.29959928
Kurtosis103.4607366
Mean-0.01492146597
Median Absolute Deviation (MAD)0
Skewness-2.5997517
Sum-5.7
Variance1.262432933
MonotonicityNot monotonic
2022-03-24T10:34:34.863850image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0343
89.8%
-0.16
 
1.6%
-0.412
 
0.5%
4.511
 
0.3%
0.991
 
0.3%
0.311
 
0.3%
-0.311
 
0.3%
-1.131
 
0.3%
6.761
 
0.3%
-4.511
 
0.3%
Other values (24)24
 
6.3%
ValueCountFrequency (%)
-14.281
0.3%
-6.761
0.3%
-4.511
0.3%
-1.581
0.3%
-1.251
0.3%
ValueCountFrequency (%)
11.441
0.3%
6.761
0.3%
4.511
0.3%
1.251
0.3%
1.091
0.3%

国债-老债.29
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.191858639
Minimum-211.83
Maximum66.72
Zeros11
Zeros (%)2.9%
Negative226
Negative (%)59.2%
Memory size3.1 KiB
2022-03-24T10:34:34.909058image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-211.83
5-th percentile-66.9545
Q1-18.09
median-3.13
Q37.635
95-th percentile28.9645
Maximum66.72
Range278.55
Interquartile range (IQR)25.725

Descriptive statistics

Standard deviation32.32875089
Coefficient of variation (CV)-3.517107057
Kurtosis6.792805258
Mean-9.191858639
Median Absolute Deviation (MAD)12.06
Skewness-1.897572901
Sum-3511.29
Variance1045.148134
MonotonicityNot monotonic
2022-03-24T10:34:34.953047image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-11.492
 
0.5%
-16.442
 
0.5%
-2.272
 
0.5%
8.512
 
0.5%
-7.222
 
0.5%
8.932
 
0.5%
-10.732
 
0.5%
-3.482
 
0.5%
-0.982
 
0.5%
Other values (351)353
92.4%
ValueCountFrequency (%)
-211.831
0.3%
-167.281
0.3%
-133.821
0.3%
-128.941
0.3%
-118.921
0.3%
ValueCountFrequency (%)
66.721
0.3%
61.271
0.3%
52.61
0.3%
49.811
0.3%
47.991
0.3%

国债-老债.30
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.95447644
Minimum-23.09
Maximum94.56
Zeros13
Zeros (%)3.4%
Negative128
Negative (%)33.5%
Memory size3.1 KiB
2022-03-24T10:34:34.999210image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.09
5-th percentile-9.785
Q1-1.5625
median2.37
Q38.8
95-th percentile25.4535
Maximum94.56
Range117.65
Interquartile range (IQR)10.3625

Descriptive statistics

Standard deviation12.84587229
Coefficient of variation (CV)2.592780981
Kurtosis13.29730806
Mean4.95447644
Median Absolute Deviation (MAD)5.04
Skewness2.6888437
Sum1892.61
Variance165.0164348
MonotonicityNot monotonic
2022-03-24T10:34:35.047706image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-2.673
 
0.8%
-1.593
 
0.8%
-1.192
 
0.5%
-10.892
 
0.5%
3.072
 
0.5%
5.362
 
0.5%
0.912
 
0.5%
4.632
 
0.5%
0.982
 
0.5%
Other values (335)349
91.4%
ValueCountFrequency (%)
-23.091
0.3%
-16.371
0.3%
-16.031
0.3%
-15.271
0.3%
-14.481
0.3%
ValueCountFrequency (%)
94.561
0.3%
91.11
0.3%
62.611
0.3%
60.271
0.3%
57.421
0.3%

国债-老债.31
Real number (ℝ)

ZEROS

Distinct279
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.095628272
Minimum-81.64
Maximum35.17
Zeros41
Zeros (%)10.7%
Negative192
Negative (%)50.3%
Memory size3.1 KiB
2022-03-24T10:34:35.094161image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-81.64
5-th percentile-9.1585
Q1-2.4275
median-0.055
Q31.085
95-th percentile7.6375
Maximum35.17
Range116.81
Interquartile range (IQR)3.5125

Descriptive statistics

Standard deviation8.379644597
Coefficient of variation (CV)-7.648255169
Kurtosis33.28141343
Mean-1.095628272
Median Absolute Deviation (MAD)1.905
Skewness-3.884253944
Sum-418.53
Variance70.21844357
MonotonicityNot monotonic
2022-03-24T10:34:35.142197image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
041
 
10.7%
0.714
 
1.0%
0.013
 
0.8%
-0.513
 
0.8%
0.093
 
0.8%
0.93
 
0.8%
-1.013
 
0.8%
-1.323
 
0.8%
-1.513
 
0.8%
-0.593
 
0.8%
Other values (269)313
81.9%
ValueCountFrequency (%)
-81.641
0.3%
-63.281
0.3%
-38.371
0.3%
-36.431
0.3%
-34.081
0.3%
ValueCountFrequency (%)
35.171
0.3%
21.491
0.3%
20.071
0.3%
19.741
0.3%
19.411
0.3%

国债-老债.32
Real number (ℝ)

ZEROS

Distinct226
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.08434555
Minimum-41.57
Maximum16.35
Zeros64
Zeros (%)16.8%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:34:35.189111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-41.57
5-th percentile-6.941
Q1-1
median0
Q30.39
95-th percentile2.8685
Maximum16.35
Range57.92
Interquartile range (IQR)1.39

Descriptive statistics

Standard deviation5.149082426
Coefficient of variation (CV)-4.748562326
Kurtosis26.31540097
Mean-1.08434555
Median Absolute Deviation (MAD)0.625
Skewness-4.344020905
Sum-414.22
Variance26.51304983
MonotonicityNot monotonic
2022-03-24T10:34:35.235609image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
064
 
16.8%
-0.19
 
2.4%
0.218
 
2.1%
0.15
 
1.3%
-0.24
 
1.0%
0.394
 
1.0%
-1.074
 
1.0%
-0.424
 
1.0%
-0.114
 
1.0%
-0.213
 
0.8%
Other values (216)273
71.5%
ValueCountFrequency (%)
-41.571
0.3%
-36.821
0.3%
-33.861
0.3%
-32.161
0.3%
-27.171
0.3%
ValueCountFrequency (%)
16.351
0.3%
12.91
0.3%
5.481
0.3%
5.111
0.3%
4.931
0.3%

国债-老债.33
Real number (ℝ)

ZEROS

Distinct158
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5766492147
Minimum-70.94
Maximum19.96
Zeros108
Zeros (%)28.3%
Negative182
Negative (%)47.6%
Memory size3.1 KiB
2022-03-24T10:34:35.284418image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.94
5-th percentile-3.498
Q1-0.68
median0
Q30
95-th percentile1.8685
Maximum19.96
Range90.9
Interquartile range (IQR)0.68

Descriptive statistics

Standard deviation5.018979702
Coefficient of variation (CV)-8.703696414
Kurtosis116.5747294
Mean-0.5766492147
Median Absolute Deviation (MAD)0.4
Skewness-9.001209365
Sum-220.28
Variance25.19015725
MonotonicityNot monotonic
2022-03-24T10:34:35.330494image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0108
28.3%
-0.315
 
3.9%
-0.111
 
2.9%
-0.28
 
2.1%
0.38
 
2.1%
-0.47
 
1.8%
0.17
 
1.8%
0.27
 
1.8%
-0.526
 
1.6%
-0.415
 
1.3%
Other values (148)200
52.4%
ValueCountFrequency (%)
-70.941
0.3%
-42.741
0.3%
-25.421
0.3%
-19.331
0.3%
-9.881
0.3%
ValueCountFrequency (%)
19.961
0.3%
13.441
0.3%
11.921
0.3%
9.721
0.3%
8.491
0.3%

国债-老债.34
Real number (ℝ)

ZEROS

Distinct286
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8018324607
Minimum-28.18
Maximum17.45
Zeros27
Zeros (%)7.1%
Negative216
Negative (%)56.5%
Memory size3.1 KiB
2022-03-24T10:34:35.376222image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.18
5-th percentile-7.7575
Q1-2.3275
median-0.29
Q30.8775
95-th percentile4.9105
Maximum17.45
Range45.63
Interquartile range (IQR)3.205

Descriptive statistics

Standard deviation4.565733812
Coefficient of variation (CV)-5.694124441
Kurtosis8.204722442
Mean-0.8018324607
Median Absolute Deviation (MAD)1.6
Skewness-0.9336353843
Sum-306.3
Variance20.84592524
MonotonicityNot monotonic
2022-03-24T10:34:35.422508image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
7.1%
-0.16
 
1.6%
-0.195
 
1.3%
0.14
 
1.0%
-0.294
 
1.0%
0.394
 
1.0%
-0.24
 
1.0%
0.493
 
0.8%
-0.773
 
0.8%
-1.83
 
0.8%
Other values (276)319
83.5%
ValueCountFrequency (%)
-28.181
0.3%
-24.31
0.3%
-22.721
0.3%
-19.441
0.3%
-14.181
0.3%
ValueCountFrequency (%)
17.451
0.3%
16.821
0.3%
14.161
0.3%
13.741
0.3%
13.141
0.3%

国债-老债.35
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.265857491 × 10-20
Minimum-0.35
Maximum0.58
Zeros379
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:35.459995image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.35
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.58
Range0.93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03665115396
Coefficient of variation (CV)-5.044298489 × 1017
Kurtosis190.5
Mean-7.265857491 × 10-20
Median Absolute Deviation (MAD)0
Skewness7.506490866
Sum0
Variance0.001343307087
MonotonicityNot monotonic
2022-03-24T10:34:35.490711image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0379
99.2%
0.581
 
0.3%
-0.351
 
0.3%
-0.231
 
0.3%
ValueCountFrequency (%)
-0.351
 
0.3%
-0.231
 
0.3%
0379
99.2%
0.581
 
0.3%
ValueCountFrequency (%)
0.581
 
0.3%
0379
99.2%
-0.231
 
0.3%
-0.351
 
0.3%

国债-老债.37
Real number (ℝ)

ZEROS

Distinct228
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7486125654
Minimum-21.73
Maximum13.06
Zeros55
Zeros (%)14.4%
Negative238
Negative (%)62.3%
Memory size3.1 KiB
2022-03-24T10:34:35.532085image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.73
5-th percentile-5.897
Q1-1.1775
median-0.315
Q30
95-th percentile2.388
Maximum13.06
Range34.79
Interquartile range (IQR)1.1775

Descriptive statistics

Standard deviation2.812249156
Coefficient of variation (CV)-3.756614951
Kurtosis12.56457753
Mean-0.7486125654
Median Absolute Deviation (MAD)0.595
Skewness-1.478468175
Sum-285.97
Variance7.908745314
MonotonicityNot monotonic
2022-03-24T10:34:35.578323image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
055
 
14.4%
-0.327
 
1.8%
-0.216
 
1.6%
-0.435
 
1.3%
-0.285
 
1.3%
-0.094
 
1.0%
-0.474
 
1.0%
-0.664
 
1.0%
-0.14
 
1.0%
0.934
 
1.0%
Other values (218)284
74.3%
ValueCountFrequency (%)
-21.731
0.3%
-13.561
0.3%
-12.591
0.3%
-10.711
0.3%
-9.931
0.3%
ValueCountFrequency (%)
13.061
0.3%
9.411
0.3%
8.41
0.3%
8.151
0.3%
7.311
0.3%

国债-老债.38
Real number (ℝ)

ZEROS

Distinct47
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1747643979
Minimum-8.64
Maximum7.79
Zeros323
Zeros (%)84.6%
Negative56
Negative (%)14.7%
Memory size3.1 KiB
2022-03-24T10:34:35.625928image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.64
5-th percentile-1.1095
Q10
median0
Q30
95-th percentile0
Maximum7.79
Range16.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.888321028
Coefficient of variation (CV)-5.082963342
Kurtosis51.36709435
Mean-0.1747643979
Median Absolute Deviation (MAD)0
Skewness-2.928394453
Sum-66.76
Variance0.7891142488
MonotonicityNot monotonic
2022-03-24T10:34:35.670368image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0323
84.6%
-0.553
 
0.8%
-0.623
 
0.8%
-0.543
 
0.8%
-0.223
 
0.8%
-1.092
 
0.5%
-0.112
 
0.5%
-0.452
 
0.5%
-1.12
 
0.5%
-0.672
 
0.5%
Other values (37)37
 
9.7%
ValueCountFrequency (%)
-8.641
0.3%
-6.711
0.3%
-5.381
0.3%
-5.111
0.3%
-3.971
0.3%
ValueCountFrequency (%)
7.791
 
0.3%
0.211
 
0.3%
0.111
 
0.3%
0323
84.6%
-0.11
 
0.3%

国债-老债.39
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.472539267
Minimum-140.09
Maximum94.74
Zeros13
Zeros (%)3.4%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:34:35.719262image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-140.09
5-th percentile-24.4035
Q1-8.4425
median0
Q38.045
95-th percentile27.7205
Maximum94.74
Range234.83
Interquartile range (IQR)16.4875

Descriptive statistics

Standard deviation20.62304954
Coefficient of variation (CV)43.64303874
Kurtosis9.72265718
Mean0.472539267
Median Absolute Deviation (MAD)8.22
Skewness-0.5862033199
Sum180.51
Variance425.3101723
MonotonicityNot monotonic
2022-03-24T10:34:35.768467image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.562
 
0.5%
-5.432
 
0.5%
-4.42
 
0.5%
6.932
 
0.5%
-4.742
 
0.5%
0.792
 
0.5%
-3.052
 
0.5%
0.312
 
0.5%
-2.052
 
0.5%
Other values (345)351
91.9%
ValueCountFrequency (%)
-140.091
0.3%
-98.981
0.3%
-85.331
0.3%
-64.991
0.3%
-53.91
0.3%
ValueCountFrequency (%)
94.741
0.3%
84.661
0.3%
78.411
0.3%
67.851
0.3%
63.651
0.3%

国债-老债.40
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.037434555
Minimum-44.01
Maximum51.83
Zeros12
Zeros (%)3.1%
Negative162
Negative (%)42.4%
Memory size3.1 KiB
2022-03-24T10:34:35.817125image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-44.01
5-th percentile-15.475
Q1-3.615
median0.855
Q37.2675
95-th percentile20.952
Maximum51.83
Range95.84
Interquartile range (IQR)10.8825

Descriptive statistics

Standard deviation11.78276744
Coefficient of variation (CV)5.783139102
Kurtosis2.771528555
Mean2.037434555
Median Absolute Deviation (MAD)5.525
Skewness0.3117426033
Sum778.3
Variance138.8336086
MonotonicityNot monotonic
2022-03-24T10:34:35.873922image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-4.612
 
0.5%
6.412
 
0.5%
-1.792
 
0.5%
12.852
 
0.5%
0.62
 
0.5%
-9.432
 
0.5%
-11.52
 
0.5%
2.22
 
0.5%
-5.172
 
0.5%
Other values (341)352
92.1%
ValueCountFrequency (%)
-44.011
0.3%
-40.531
0.3%
-31.681
0.3%
-30.181
0.3%
-29.841
0.3%
ValueCountFrequency (%)
51.831
0.3%
44.511
0.3%
44.21
0.3%
42.741
0.3%
37.681
0.3%

国债-老债.41
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.038664921
Minimum-46.7
Maximum35.09
Zeros13
Zeros (%)3.4%
Negative147
Negative (%)38.5%
Memory size3.1 KiB
2022-03-24T10:34:35.925404image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-46.7
5-th percentile-11.6695
Q1-2.7675
median1.215
Q36.0025
95-th percentile19.208
Maximum35.09
Range81.79
Interquartile range (IQR)8.77

Descriptive statistics

Standard deviation9.561927954
Coefficient of variation (CV)4.690289146
Kurtosis2.906090489
Mean2.038664921
Median Absolute Deviation (MAD)4.315
Skewness0.02368267889
Sum778.77
Variance91.43046619
MonotonicityNot monotonic
2022-03-24T10:34:35.977519image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
1.334
 
1.0%
15.652
 
0.5%
3.672
 
0.5%
10.472
 
0.5%
-1.752
 
0.5%
3.082
 
0.5%
2.112
 
0.5%
-2.862
 
0.5%
0.692
 
0.5%
Other values (339)349
91.4%
ValueCountFrequency (%)
-46.71
0.3%
-31.371
0.3%
-27.021
0.3%
-24.281
0.3%
-22.281
0.3%
ValueCountFrequency (%)
35.091
0.3%
34.141
0.3%
29.91
0.3%
29.161
0.3%
28.681
0.3%

国债-老债.42
Real number (ℝ)

ZEROS

Distinct336
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1468586387
Minimum-13.53
Maximum20.5
Zeros12
Zeros (%)3.1%
Negative179
Negative (%)46.9%
Memory size3.1 KiB
2022-03-24T10:34:36.029790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.53
5-th percentile-6.7165
Q1-2.4475
median0.01
Q32.2775
95-th percentile8.1825
Maximum20.5
Range34.03
Interquartile range (IQR)4.725

Descriptive statistics

Standard deviation4.50641451
Coefficient of variation (CV)30.68538935
Kurtosis2.159446632
Mean0.1468586387
Median Absolute Deviation (MAD)2.41
Skewness0.5659979264
Sum56.1
Variance20.30777173
MonotonicityNot monotonic
2022-03-24T10:34:36.077822image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.043
 
0.8%
3.433
 
0.8%
0.083
 
0.8%
1.133
 
0.8%
-3.252
 
0.5%
1.842
 
0.5%
1.242
 
0.5%
0.242
 
0.5%
0.522
 
0.5%
Other values (326)348
91.1%
ValueCountFrequency (%)
-13.531
0.3%
-12.421
0.3%
-12.351
0.3%
-11.11
0.3%
-10.91
0.3%
ValueCountFrequency (%)
20.51
0.3%
17.221
0.3%
15.791
0.3%
13.721
0.3%
13.131
0.3%

国债-老债.43
Real number (ℝ)

ZEROS

Distinct303
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004790575916
Minimum-23.21
Maximum21.08
Zeros13
Zeros (%)3.4%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:36.130376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.21
5-th percentile-4.854
Q1-1.21
median0.025
Q31.405
95-th percentile5.436
Maximum21.08
Range44.29
Interquartile range (IQR)2.615

Descriptive statistics

Standard deviation3.632325608
Coefficient of variation (CV)758.2231598
Kurtosis9.296642535
Mean0.004790575916
Median Absolute Deviation (MAD)1.33
Skewness-0.2459026978
Sum1.83
Variance13.19378933
MonotonicityNot monotonic
2022-03-24T10:34:36.179755image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.613
 
0.8%
0.143
 
0.8%
-0.543
 
0.8%
2.173
 
0.8%
-0.283
 
0.8%
0.753
 
0.8%
-0.823
 
0.8%
-0.13
 
0.8%
0.743
 
0.8%
Other values (293)342
89.5%
ValueCountFrequency (%)
-23.211
0.3%
-15.251
0.3%
-12.441
0.3%
-11.011
0.3%
-10.421
0.3%
ValueCountFrequency (%)
21.081
0.3%
16.631
0.3%
12.941
0.3%
8.711
0.3%
8.51
0.3%

国债-老债.44
Real number (ℝ)

ZEROS

Distinct334
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1126701571
Minimum-15.99
Maximum20.15
Zeros14
Zeros (%)3.7%
Negative168
Negative (%)44.0%
Memory size3.1 KiB
2022-03-24T10:34:36.228611image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.99
5-th percentile-8.5255
Q1-2.29
median0.215
Q32.5275
95-th percentile8.2955
Maximum20.15
Range36.14
Interquartile range (IQR)4.8175

Descriptive statistics

Standard deviation4.866389381
Coefficient of variation (CV)43.19146709
Kurtosis2.048082953
Mean0.1126701571
Median Absolute Deviation (MAD)2.36
Skewness0.1732498923
Sum43.04
Variance23.68174561
MonotonicityNot monotonic
2022-03-24T10:34:36.274832image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
0.233
 
0.8%
1.282
 
0.5%
6.882
 
0.5%
0.752
 
0.5%
-0.312
 
0.5%
-0.972
 
0.5%
0.442
 
0.5%
-1.132
 
0.5%
-2.852
 
0.5%
Other values (324)349
91.4%
ValueCountFrequency (%)
-15.991
0.3%
-14.861
0.3%
-13.951
0.3%
-12.521
0.3%
-11.991
0.3%
ValueCountFrequency (%)
20.151
0.3%
17.671
0.3%
16.361
0.3%
14.821
0.3%
14.111
0.3%

国债-老债.45
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001623036649
Minimum-0.23
Maximum0.49
Zeros373
Zeros (%)97.6%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:36.316314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.23
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.49
Range0.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03114582235
Coefficient of variation (CV)19.18984539
Kurtosis174.6155328
Mean0.001623036649
Median Absolute Deviation (MAD)0
Skewness10.13312841
Sum0.62
Variance0.0009700622501
MonotonicityNot monotonic
2022-03-24T10:34:36.349455image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0373
97.6%
0.032
 
0.5%
0.231
 
0.3%
-0.231
 
0.3%
-0.11
 
0.3%
0.491
 
0.3%
0.021
 
0.3%
0.051
 
0.3%
0.11
 
0.3%
ValueCountFrequency (%)
-0.231
 
0.3%
-0.11
 
0.3%
0373
97.6%
0.021
 
0.3%
0.032
 
0.5%
ValueCountFrequency (%)
0.491
0.3%
0.231
0.3%
0.11
0.3%
0.051
0.3%
0.032
0.5%

国债-老债.46
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004869109948
Minimum-1.05
Maximum0.57
Zeros365
Zeros (%)95.5%
Negative11
Negative (%)2.9%
Memory size3.1 KiB
2022-03-24T10:34:36.385744image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.05
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.57
Range1.62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07559637702
Coefficient of variation (CV)-15.52570754
Kurtosis110.7557791
Mean-0.004869109948
Median Absolute Deviation (MAD)0
Skewness-6.975327738
Sum-1.86
Variance0.005714812219
MonotonicityNot monotonic
2022-03-24T10:34:36.420858image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0365
95.5%
0.232
 
0.5%
-0.422
 
0.5%
0.112
 
0.5%
-0.062
 
0.5%
-0.171
 
0.3%
0.011
 
0.3%
-0.071
 
0.3%
-1.051
 
0.3%
-0.151
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-1.051
0.3%
-0.422
0.5%
-0.391
0.3%
-0.221
0.3%
-0.171
0.3%
ValueCountFrequency (%)
0.571
 
0.3%
0.232
 
0.5%
0.112
 
0.5%
0.011
 
0.3%
0365
95.5%

国债-老债.47
Real number (ℝ)

ZEROS

Distinct211
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01235602094
Minimum-6.37
Maximum6.56
Zeros52
Zeros (%)13.6%
Negative171
Negative (%)44.8%
Memory size3.1 KiB
2022-03-24T10:34:36.467483image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.37
5-th percentile-1.9085
Q1-0.3175
median0
Q30.29
95-th percentile1.7275
Maximum6.56
Range12.93
Interquartile range (IQR)0.6075

Descriptive statistics

Standard deviation1.180233394
Coefficient of variation (CV)-95.51888912
Kurtosis7.621847866
Mean-0.01235602094
Median Absolute Deviation (MAD)0.3
Skewness0.002824090368
Sum-4.72
Variance1.392950865
MonotonicityNot monotonic
2022-03-24T10:34:36.517021image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052
 
13.6%
0.16
 
1.6%
0.225
 
1.3%
0.015
 
1.3%
-0.045
 
1.3%
-0.125
 
1.3%
0.024
 
1.0%
-0.034
 
1.0%
0.134
 
1.0%
-0.064
 
1.0%
Other values (201)288
75.4%
ValueCountFrequency (%)
-6.371
0.3%
-5.271
0.3%
-4.081
0.3%
-3.691
0.3%
-3.411
0.3%
ValueCountFrequency (%)
6.561
0.3%
5.581
0.3%
3.51
0.3%
3.451
0.3%
3.261
0.3%

国债-老债.48
Real number (ℝ)

ZEROS

Distinct38
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0007853403141
Minimum-0.89
Maximum1.23
Zeros320
Zeros (%)83.8%
Negative27
Negative (%)7.1%
Memory size3.1 KiB
2022-03-24T10:34:36.564734image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.89
5-th percentile-0.097
Q10
median0
Q30
95-th percentile0.0895
Maximum1.23
Range2.12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358956331
Coefficient of variation (CV)-173.0404395
Kurtosis30.28765183
Mean-0.0007853403141
Median Absolute Deviation (MAD)0
Skewness0.6582360574
Sum-0.3
Variance0.01846762309
MonotonicityNot monotonic
2022-03-24T10:34:36.604934image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0320
83.8%
0.019
 
2.4%
-0.014
 
1.0%
-0.34
 
1.0%
0.13
 
0.8%
0.312
 
0.5%
-0.042
 
0.5%
-0.112
 
0.5%
0.112
 
0.5%
0.042
 
0.5%
Other values (28)32
 
8.4%
ValueCountFrequency (%)
-0.891
0.3%
-0.81
0.3%
-0.651
0.3%
-0.551
0.3%
-0.511
0.3%
ValueCountFrequency (%)
1.231
0.3%
0.651
0.3%
0.551
0.3%
0.531
0.3%
0.411
0.3%

国债-老债.49
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.323141361
Minimum-59.28
Maximum73.21
Zeros11
Zeros (%)2.9%
Negative148
Negative (%)38.7%
Memory size3.1 KiB
2022-03-24T10:34:36.649509image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-59.28
5-th percentile-24.4625
Q1-7.3775
median3.725
Q317.25
95-th percentile32.527
Maximum73.21
Range132.49
Interquartile range (IQR)24.6275

Descriptive statistics

Standard deviation18.721047
Coefficient of variation (CV)4.33042675
Kurtosis0.8834742584
Mean4.323141361
Median Absolute Deviation (MAD)12.335
Skewness0.005728092802
Sum1651.44
Variance350.4776006
MonotonicityNot monotonic
2022-03-24T10:34:36.700212image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
20.93
 
0.8%
-5.472
 
0.5%
8.482
 
0.5%
19.972
 
0.5%
3.922
 
0.5%
1.172
 
0.5%
-14.282
 
0.5%
30.552
 
0.5%
2.112
 
0.5%
Other values (352)352
92.1%
ValueCountFrequency (%)
-59.281
0.3%
-48.111
0.3%
-45.921
0.3%
-45.761
0.3%
-44.531
0.3%
ValueCountFrequency (%)
73.211
0.3%
63.961
0.3%
56.181
0.3%
53.111
0.3%
50.511
0.3%

国债-老债.50
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4253664921
Minimum-118.65
Maximum58.52
Zeros12
Zeros (%)3.1%
Negative180
Negative (%)47.1%
Memory size3.1 KiB
2022-03-24T10:34:36.750785image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-118.65
5-th percentile-25.7345
Q1-7.5875
median0
Q39.4625
95-th percentile28.216
Maximum58.52
Range177.17
Interquartile range (IQR)17.05

Descriptive statistics

Standard deviation19.40960016
Coefficient of variation (CV)45.63029885
Kurtosis7.066858863
Mean0.4253664921
Median Absolute Deviation (MAD)8.49
Skewness-1.26625428
Sum162.49
Variance376.7325782
MonotonicityNot monotonic
2022-03-24T10:34:36.799303image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-1.212
 
0.5%
20.752
 
0.5%
-6.022
 
0.5%
-6.132
 
0.5%
0.392
 
0.5%
20.32
 
0.5%
-3.712
 
0.5%
6.142
 
0.5%
13.52
 
0.5%
Other values (343)352
92.1%
ValueCountFrequency (%)
-118.651
0.3%
-94.11
0.3%
-88.411
0.3%
-831
0.3%
-59.951
0.3%
ValueCountFrequency (%)
58.521
0.3%
57.741
0.3%
55.491
0.3%
50.981
0.3%
46.231
0.3%

国债-老债.51
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.280863874
Minimum-127.96
Maximum68.35
Zeros11
Zeros (%)2.9%
Negative210
Negative (%)55.0%
Memory size3.1 KiB
2022-03-24T10:34:36.849376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-127.96
5-th percentile-23.657
Q1-6.1325
median-0.955
Q33.4375
95-th percentile18.0585
Maximum68.35
Range196.31
Interquartile range (IQR)9.57

Descriptive statistics

Standard deviation17.28735311
Coefficient of variation (CV)-7.579300677
Kurtosis17.01782411
Mean-2.280863874
Median Absolute Deviation (MAD)4.72
Skewness-2.535729859
Sum-871.29
Variance298.8525775
MonotonicityNot monotonic
2022-03-24T10:34:36.897487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
0.113
 
0.8%
-8.333
 
0.8%
14.152
 
0.5%
-11.052
 
0.5%
2.682
 
0.5%
-6.792
 
0.5%
-2.232
 
0.5%
0.582
 
0.5%
-7.942
 
0.5%
Other values (338)351
91.9%
ValueCountFrequency (%)
-127.961
0.3%
-108.11
0.3%
-99.651
0.3%
-85.91
0.3%
-76.491
0.3%
ValueCountFrequency (%)
68.351
0.3%
61.321
0.3%
59.61
0.3%
32.881
0.3%
31.051
0.3%

国债-老债.52
Real number (ℝ)

ZEROS

Distinct322
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8861780105
Minimum-51.29
Maximum49.24
Zeros19
Zeros (%)5.0%
Negative174
Negative (%)45.5%
Memory size3.1 KiB
2022-03-24T10:34:36.949140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-51.29
5-th percentile-7.786
Q1-1.8875
median0
Q33.205
95-th percentile11.9135
Maximum49.24
Range100.53
Interquartile range (IQR)5.0925

Descriptive statistics

Standard deviation7.757535634
Coefficient of variation (CV)8.753924767
Kurtosis13.51556341
Mean0.8861780105
Median Absolute Deviation (MAD)2.49
Skewness0.02387340669
Sum338.52
Variance60.17935911
MonotonicityNot monotonic
2022-03-24T10:34:36.994823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
5.0%
-0.783
 
0.8%
-0.253
 
0.8%
-0.013
 
0.8%
-1.672
 
0.5%
-0.632
 
0.5%
-5.922
 
0.5%
6.162
 
0.5%
-3.732
 
0.5%
0.112
 
0.5%
Other values (312)342
89.5%
ValueCountFrequency (%)
-51.291
0.3%
-44.81
0.3%
-18.861
0.3%
-17.961
0.3%
-15.681
0.3%
ValueCountFrequency (%)
49.241
0.3%
39.541
0.3%
24.231
0.3%
23.281
0.3%
22.661
0.3%

国债-老债.53
Real number (ℝ)

ZEROS

Distinct310
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.378246073
Minimum-60.64
Maximum74.94
Zeros19
Zeros (%)5.0%
Negative169
Negative (%)44.2%
Memory size3.1 KiB
2022-03-24T10:34:37.041387image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-60.64
5-th percentile-4.943
Q1-0.9975
median0.055
Q32.6075
95-th percentile9.986
Maximum74.94
Range135.58
Interquartile range (IQR)3.605

Descriptive statistics

Standard deviation9.553827108
Coefficient of variation (CV)6.931873265
Kurtosis29.87396064
Mean1.378246073
Median Absolute Deviation (MAD)1.56
Skewness1.54060452
Sum526.49
Variance91.2756124
MonotonicityNot monotonic
2022-03-24T10:34:37.098040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
5.0%
-0.284
 
1.0%
-0.313
 
0.8%
0.053
 
0.8%
0.73
 
0.8%
1.23
 
0.8%
-0.253
 
0.8%
-0.213
 
0.8%
-0.13
 
0.8%
-0.922
 
0.5%
Other values (300)336
88.0%
ValueCountFrequency (%)
-60.641
0.3%
-59.141
0.3%
-47.81
0.3%
-16.821
0.3%
-11.561
0.3%
ValueCountFrequency (%)
74.941
0.3%
72.111
0.3%
48.521
0.3%
45.321
0.3%
41.751
0.3%

国债-老债.54
Real number (ℝ)

ZEROS

Distinct336
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5583769634
Minimum-61.26
Maximum23.62
Zeros12
Zeros (%)3.1%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:37.156662image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.26
5-th percentile-7.266
Q1-1.83
median0.065
Q33.27
95-th percentile10.389
Maximum23.62
Range84.88
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation6.509056036
Coefficient of variation (CV)11.65709989
Kurtosis23.80983401
Mean0.5583769634
Median Absolute Deviation (MAD)2.43
Skewness-2.253646417
Sum213.3
Variance42.36781048
MonotonicityNot monotonic
2022-03-24T10:34:37.207637image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
1.034
 
1.0%
-1.843
 
0.8%
-0.93
 
0.8%
0.433
 
0.8%
0.913
 
0.8%
10.182
 
0.5%
-0.162
 
0.5%
-32
 
0.5%
2.842
 
0.5%
Other values (326)346
90.6%
ValueCountFrequency (%)
-61.261
0.3%
-30.51
0.3%
-27.611
0.3%
-18.331
0.3%
-17.461
0.3%
ValueCountFrequency (%)
23.621
0.3%
22.811
0.3%
21.871
0.3%
19.541
0.3%
18.861
0.3%

国债-老债.55
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0337434555
Minimum-0.51
Maximum7
Zeros367
Zeros (%)96.1%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:37.252898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.51
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4083278328
Coefficient of variation (CV)12.10094896
Kurtosis234.7303131
Mean0.0337434555
Median Absolute Deviation (MAD)0
Skewness14.62031205
Sum12.89
Variance0.1667316191
MonotonicityNot monotonic
2022-03-24T10:34:37.290361image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0367
96.1%
0.511
 
0.3%
-0.511
 
0.3%
0.311
 
0.3%
-0.311
 
0.3%
71
 
0.3%
0.681
 
0.3%
1.441
 
0.3%
3.341
 
0.3%
-0.291
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-0.511
0.3%
-0.311
0.3%
-0.291
0.3%
-0.221
0.3%
-0.111
0.3%
ValueCountFrequency (%)
71
0.3%
3.341
0.3%
1.441
0.3%
0.681
0.3%
0.511
0.3%

国债-老债.56
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01034031414
Minimum-2.72
Maximum3.43
Zeros367
Zeros (%)96.1%
Negative11
Negative (%)2.9%
Memory size3.1 KiB
2022-03-24T10:34:37.330316image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.43
Range6.15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2987957271
Coefficient of variation (CV)-28.89619436
Kurtosis79.21494805
Mean-0.01034031414
Median Absolute Deviation (MAD)0
Skewness2.18926686
Sum-3.95
Variance0.08927888651
MonotonicityNot monotonic
2022-03-24T10:34:37.365701image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0367
96.1%
-0.423
 
0.8%
3.431
 
0.3%
-1.951
 
0.3%
-0.111
 
0.3%
-1.331
 
0.3%
-0.841
 
0.3%
-2.721
 
0.3%
-0.411
 
0.3%
0.411
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-2.721
0.3%
-1.951
0.3%
-1.331
0.3%
-1.091
0.3%
-0.871
0.3%
ValueCountFrequency (%)
3.431
 
0.3%
2.371
 
0.3%
0.421
 
0.3%
0.411
 
0.3%
0367
96.1%

国债-老债.57
Real number (ℝ)

ZEROS

Distinct166
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.257460733
Minimum-5.84
Maximum16.33
Zeros93
Zeros (%)24.3%
Negative150
Negative (%)39.3%
Memory size3.1 KiB
2022-03-24T10:34:37.713856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.84
5-th percentile-1.0395
Q1-0.1575
median0
Q30.2075
95-th percentile2.0705
Maximum16.33
Range22.17
Interquartile range (IQR)0.365

Descriptive statistics

Standard deviation1.770741972
Coefficient of variation (CV)6.877716657
Kurtosis40.6108927
Mean0.257460733
Median Absolute Deviation (MAD)0.19
Skewness5.387418679
Sum98.35
Variance3.135527131
MonotonicityNot monotonic
2022-03-24T10:34:37.759982image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
093
24.3%
-0.029
 
2.4%
-0.217
 
1.8%
-0.037
 
1.8%
0.16
 
1.6%
-0.016
 
1.6%
-0.116
 
1.6%
-0.096
 
1.6%
0.226
 
1.6%
-0.076
 
1.6%
Other values (156)230
60.2%
ValueCountFrequency (%)
-5.841
0.3%
-3.041
0.3%
-2.91
0.3%
-2.341
0.3%
-2.271
0.3%
ValueCountFrequency (%)
16.331
0.3%
16.131
0.3%
10.331
0.3%
9.581
0.3%
8.391
0.3%

国债-老债.58
Real number (ℝ)

ZEROS

Distinct18
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009738219895
Minimum-1.1
Maximum0.52
Zeros357
Zeros (%)93.5%
Negative18
Negative (%)4.7%
Memory size3.1 KiB
2022-03-24T10:34:37.800514image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.52
Range1.62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1120903018
Coefficient of variation (CV)-11.51034819
Kurtosis46.72359447
Mean-0.009738219895
Median Absolute Deviation (MAD)0
Skewness-4.464252294
Sum-3.72
Variance0.01256423575
MonotonicityNot monotonic
2022-03-24T10:34:37.839233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0357
93.5%
-0.14
 
1.0%
-0.44
 
1.0%
0.512
 
0.5%
-0.012
 
0.5%
-0.511
 
0.3%
0.521
 
0.3%
-0.61
 
0.3%
-0.21
 
0.3%
-11
 
0.3%
Other values (8)8
 
2.1%
ValueCountFrequency (%)
-1.11
0.3%
-11
0.3%
-0.61
0.3%
-0.511
0.3%
-0.411
0.3%
ValueCountFrequency (%)
0.521
0.3%
0.512
0.5%
0.411
0.3%
0.31
0.3%
0.11
0.3%

国债-老债.59
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.238612565
Minimum-157.02
Maximum115.92
Zeros11
Zeros (%)2.9%
Negative175
Negative (%)45.8%
Memory size3.1 KiB
2022-03-24T10:34:37.886217image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-157.02
5-th percentile-57.747
Q1-10.7575
median0.625
Q318.32
95-th percentile46.305
Maximum115.92
Range272.94
Interquartile range (IQR)29.0775

Descriptive statistics

Standard deviation32.29716013
Coefficient of variation (CV)26.07527247
Kurtosis3.986312972
Mean1.238612565
Median Absolute Deviation (MAD)14.905
Skewness-0.7883591966
Sum473.15
Variance1043.106553
MonotonicityNot monotonic
2022-03-24T10:34:37.930448image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
17.252
 
0.5%
7.532
 
0.5%
-8.312
 
0.5%
6.762
 
0.5%
16.82
 
0.5%
-2.82
 
0.5%
0.392
 
0.5%
16.492
 
0.5%
8.042
 
0.5%
Other values (352)353
92.4%
ValueCountFrequency (%)
-157.021
0.3%
-123.521
0.3%
-120.51
0.3%
-120.21
0.3%
-117.961
0.3%
ValueCountFrequency (%)
115.921
0.3%
107.181
0.3%
105.151
0.3%
94.561
0.3%
75.841
0.3%

国债-老债.60
Real number (ℝ)

ZEROS

Distinct68
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2314136126
Minimum-3.22
Maximum29.28
Zeros256
Zeros (%)67.0%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:37.978312image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.22
5-th percentile-0.5955
Q10
median0
Q30
95-th percentile1.5095
Maximum29.28
Range32.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.772348292
Coefficient of variation (CV)7.658790131
Kurtosis190.8920789
Mean0.2314136126
Median Absolute Deviation (MAD)0
Skewness12.03120947
Sum88.4
Variance3.141218469
MonotonicityNot monotonic
2022-03-24T10:34:38.025361image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0256
67.0%
0.211
 
2.9%
0.58
 
2.1%
0.517
 
1.8%
-0.57
 
1.8%
-0.36
 
1.6%
-0.514
 
1.0%
0.14
 
1.0%
0.34
 
1.0%
0.43
 
0.8%
Other values (58)72
 
18.8%
ValueCountFrequency (%)
-3.221
0.3%
-2.991
0.3%
-2.621
0.3%
-2.311
0.3%
-21
0.3%
ValueCountFrequency (%)
29.281
0.3%
5.981
0.3%
5.61
0.3%
5.361
0.3%
5.281
0.3%

国债-老债.61
Real number (ℝ)

ZEROS

Distinct97
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2242408377
Minimum-4.53
Maximum8.95
Zeros221
Zeros (%)57.9%
Negative66
Negative (%)17.3%
Memory size3.1 KiB
2022-03-24T10:34:38.073350image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.53
5-th percentile-1.0295
Q10
median0
Q30
95-th percentile2.419
Maximum8.95
Range13.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.322014817
Coefficient of variation (CV)5.895513191
Kurtosis13.63824241
Mean0.2242408377
Median Absolute Deviation (MAD)0
Skewness2.602028082
Sum85.66
Variance1.747723175
MonotonicityNot monotonic
2022-03-24T10:34:38.122588image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0221
57.9%
0.510
 
2.6%
-0.29
 
2.4%
0.518
 
2.1%
-0.516
 
1.6%
0.15
 
1.3%
0.35
 
1.3%
-0.15
 
1.3%
1.014
 
1.0%
1.114
 
1.0%
Other values (87)105
27.5%
ValueCountFrequency (%)
-4.531
0.3%
-3.571
0.3%
-3.231
0.3%
-3.131
0.3%
-3.051
0.3%
ValueCountFrequency (%)
8.951
0.3%
7.611
0.3%
7.161
0.3%
6.911
0.3%
6.051
0.3%

国债-老债.62
Real number (ℝ)

ZEROS

Distinct66
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1279842932
Minimum-3.8
Maximum4.88
Zeros268
Zeros (%)70.2%
Negative37
Negative (%)9.7%
Memory size3.1 KiB
2022-03-24T10:34:38.172585image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.8
5-th percentile-0.4765
Q10
median0
Q30
95-th percentile1.156
Maximum4.88
Range8.68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6567831969
Coefficient of variation (CV)5.13174844
Kurtosis19.35191576
Mean0.1279842932
Median Absolute Deviation (MAD)0
Skewness2.498984812
Sum48.89
Variance0.4313641677
MonotonicityNot monotonic
2022-03-24T10:34:38.218463image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0268
70.2%
0.498
 
2.1%
0.17
 
1.8%
-0.16
 
1.6%
0.196
 
1.6%
0.985
 
1.3%
0.395
 
1.3%
-0.24
 
1.0%
-0.493
 
0.8%
1.463
 
0.8%
Other values (56)67
 
17.5%
ValueCountFrequency (%)
-3.81
0.3%
-2.231
0.3%
-1.451
0.3%
-1.041
0.3%
-0.971
0.3%
ValueCountFrequency (%)
4.881
0.3%
4.141
0.3%
3.911
0.3%
3.061
0.3%
2.961
0.3%

国债-老债.63
Real number (ℝ)

ZEROS

Distinct41
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05931937173
Minimum-2.58
Maximum4.38
Zeros313
Zeros (%)81.9%
Negative24
Negative (%)6.3%
Memory size3.1 KiB
2022-03-24T10:34:38.264117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.58
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0.51
Maximum4.38
Range6.96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4656190614
Coefficient of variation (CV)7.849359287
Kurtosis37.88946763
Mean0.05931937173
Median Absolute Deviation (MAD)0
Skewness4.118750622
Sum22.66
Variance0.2168011103
MonotonicityNot monotonic
2022-03-24T10:34:38.307713image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0313
81.9%
0.18
 
2.1%
-0.15
 
1.3%
0.25
 
1.3%
0.214
 
1.0%
2.064
 
1.0%
-0.53
 
0.8%
-0.512
 
0.5%
-0.22
 
0.5%
0.512
 
0.5%
Other values (31)34
 
8.9%
ValueCountFrequency (%)
-2.581
0.3%
-1.731
0.3%
-0.991
0.3%
-0.971
0.3%
-0.91
0.3%
ValueCountFrequency (%)
4.381
 
0.3%
3.931
 
0.3%
2.064
1.0%
1.671
 
0.3%
1.511
 
0.3%

国债-老债.64
Real number (ℝ)

ZEROS

Distinct133
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06984293194
Minimum-6.56
Maximum7.79
Zeros155
Zeros (%)40.6%
Negative125
Negative (%)32.7%
Memory size3.1 KiB
2022-03-24T10:34:38.354934image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.56
5-th percentile-1.8485
Q1-0.21
median0
Q30.1
95-th percentile1.4155
Maximum7.79
Range14.35
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation1.216487986
Coefficient of variation (CV)-17.41748166
Kurtosis12.33230785
Mean-0.06984293194
Median Absolute Deviation (MAD)0.19
Skewness-0.1803059084
Sum-26.68
Variance1.47984302
MonotonicityNot monotonic
2022-03-24T10:34:38.401688image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0155
40.6%
-0.110
 
2.6%
-0.29
 
2.4%
0.18
 
2.1%
-0.487
 
1.8%
0.196
 
1.6%
0.585
 
1.3%
0.215
 
1.3%
-0.314
 
1.0%
-0.294
 
1.0%
Other values (123)169
44.2%
ValueCountFrequency (%)
-6.561
0.3%
-5.851
0.3%
-5.661
0.3%
-5.441
0.3%
-4.331
0.3%
ValueCountFrequency (%)
7.791
0.3%
61
0.3%
4.931
0.3%
3.431
0.3%
3.051
0.3%

国债-老债.67
Real number (ℝ)

ZEROS

Distinct86
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0907591623
Minimum-9.19
Maximum6.16
Zeros263
Zeros (%)68.8%
Negative73
Negative (%)19.1%
Memory size3.1 KiB
2022-03-24T10:34:38.450532image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.19
5-th percentile-1.13
Q10
median0
Q30
95-th percentile0.6265
Maximum6.16
Range15.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.094427162
Coefficient of variation (CV)-12.05858598
Kurtosis23.57589665
Mean-0.0907591623
Median Absolute Deviation (MAD)0
Skewness-1.154350653
Sum-34.67
Variance1.197770813
MonotonicityNot monotonic
2022-03-24T10:34:38.495704image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0263
68.8%
0.216
 
1.6%
-0.476
 
1.6%
0.14
 
1.0%
-0.113
 
0.8%
-0.343
 
0.8%
0.313
 
0.8%
-0.322
 
0.5%
-0.312
 
0.5%
-0.542
 
0.5%
Other values (76)88
 
23.0%
ValueCountFrequency (%)
-9.191
0.3%
-5.781
0.3%
-5.181
0.3%
-4.391
0.3%
-4.071
0.3%
ValueCountFrequency (%)
6.161
0.3%
6.021
0.3%
4.631
0.3%
4.461
0.3%
4.281
0.3%

国债-老债.68
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001570680628
Minimum-0.1
Maximum0.3
Zeros378
Zeros (%)99.0%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:38.534758image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.3
Range0.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02167873225
Coefficient of variation (CV)13.8021262
Kurtosis131.4434985
Mean0.001570680628
Median Absolute Deviation (MAD)0
Skewness10.65794725
Sum0.6
Variance0.0004699674321
MonotonicityNot monotonic
2022-03-24T10:34:38.567833image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0378
99.0%
0.22
 
0.5%
0.31
 
0.3%
-0.11
 
0.3%
ValueCountFrequency (%)
-0.11
 
0.3%
0378
99.0%
0.22
 
0.5%
0.31
 
0.3%
ValueCountFrequency (%)
0.31
 
0.3%
0.22
 
0.5%
0378
99.0%
-0.11
 
0.3%

国债-老债.69
Real number (ℝ)

ZEROS

Distinct253
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4839790576
Minimum-8.91
Maximum32.62
Zeros37
Zeros (%)9.7%
Negative163
Negative (%)42.7%
Memory size3.1 KiB
2022-03-24T10:34:38.614020image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.91
5-th percentile-3.5135
Q1-0.77
median0
Q31.44
95-th percentile5.6095
Maximum32.62
Range41.53
Interquartile range (IQR)2.21

Descriptive statistics

Standard deviation3.108276375
Coefficient of variation (CV)6.422336518
Kurtosis30.4020555
Mean0.4839790576
Median Absolute Deviation (MAD)1.07
Skewness3.203787695
Sum184.88
Variance9.661382026
MonotonicityNot monotonic
2022-03-24T10:34:38.660150image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037
 
9.7%
-0.114
 
3.7%
0.517
 
1.8%
0.15
 
1.3%
-0.25
 
1.3%
0.114
 
1.0%
-0.014
 
1.0%
-0.213
 
0.8%
0.623
 
0.8%
0.583
 
0.8%
Other values (243)297
77.7%
ValueCountFrequency (%)
-8.911
0.3%
-8.361
0.3%
-7.271
0.3%
-6.141
0.3%
-6.071
0.3%
ValueCountFrequency (%)
32.621
0.3%
12.211
0.3%
10.61
0.3%
8.71
0.3%
8.381
0.3%

国债-老债.70
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.48447644
Minimum-114.56
Maximum65.72
Zeros15
Zeros (%)3.9%
Negative281
Negative (%)73.6%
Memory size3.1 KiB
2022-03-24T10:34:38.707265image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-114.56
5-th percentile-34.594
Q1-15.345
median-6.67
Q30
95-th percentile14.134
Maximum65.72
Range180.28
Interquartile range (IQR)15.345

Descriptive statistics

Standard deviation17.17808265
Coefficient of variation (CV)-2.024648518
Kurtosis6.696729666
Mean-8.48447644
Median Absolute Deviation (MAD)6.96
Skewness-0.9801771396
Sum-3241.07
Variance295.0865235
MonotonicityNot monotonic
2022-03-24T10:34:38.753781image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
-0.513
 
0.8%
-23.952
 
0.5%
-7.282
 
0.5%
-6.122
 
0.5%
-17.162
 
0.5%
-5.132
 
0.5%
-14.312
 
0.5%
-15.962
 
0.5%
0.212
 
0.5%
Other values (343)348
91.1%
ValueCountFrequency (%)
-114.561
0.3%
-86.091
0.3%
-68.241
0.3%
-65.921
0.3%
-62.861
0.3%
ValueCountFrequency (%)
65.721
0.3%
53.141
0.3%
44.441
0.3%
30.661
0.3%
30.371
0.3%

国债-老债.71
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.816649215
Minimum-55.73
Maximum67.88
Zeros15
Zeros (%)3.9%
Negative241
Negative (%)63.1%
Memory size3.1 KiB
2022-03-24T10:34:38.803079image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-55.73
5-th percentile-21.6325
Q1-8.6825
median-1.68
Q32.0775
95-th percentile17.5255
Maximum67.88
Range123.61
Interquartile range (IQR)10.76

Descriptive statistics

Standard deviation13.38396678
Coefficient of variation (CV)-4.751733623
Kurtosis4.839121599
Mean-2.816649215
Median Absolute Deviation (MAD)5.56
Skewness0.3434048513
Sum-1075.96
Variance179.1305667
MonotonicityNot monotonic
2022-03-24T10:34:38.850824image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
-0.493
 
0.8%
-1.183
 
0.8%
7.342
 
0.5%
-10.462
 
0.5%
-4.222
 
0.5%
-1.022
 
0.5%
-2.732
 
0.5%
-4.022
 
0.5%
0.12
 
0.5%
Other values (328)347
90.8%
ValueCountFrequency (%)
-55.731
0.3%
-49.821
0.3%
-49.211
0.3%
-47.741
0.3%
-40.111
0.3%
ValueCountFrequency (%)
67.881
0.3%
61.131
0.3%
44.751
0.3%
38.781
0.3%
32.881
0.3%

国债-老债.72
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.872408377
Minimum-60.44
Maximum50.27
Zeros14
Zeros (%)3.7%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:38.900843image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-60.44
5-th percentile-15.3245
Q1-4.42
median0
Q32.9725
95-th percentile10.1215
Maximum50.27
Range110.71
Interquartile range (IQR)7.3925

Descriptive statistics

Standard deviation9.105181442
Coefficient of variation (CV)-10.43683404
Kurtosis9.106993031
Mean-0.872408377
Median Absolute Deviation (MAD)3.87
Skewness-0.3200484125
Sum-333.26
Variance82.90432909
MonotonicityNot monotonic
2022-03-24T10:34:38.948390image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-4.423
 
0.8%
1.452
 
0.5%
-9.292
 
0.5%
2.722
 
0.5%
0.42
 
0.5%
3.922
 
0.5%
0.482
 
0.5%
2.892
 
0.5%
1.342
 
0.5%
Other values (335)349
91.4%
ValueCountFrequency (%)
-60.441
0.3%
-39.821
0.3%
-26.821
0.3%
-23.431
0.3%
-23.371
0.3%
ValueCountFrequency (%)
50.271
0.3%
40.921
0.3%
35.631
0.3%
24.511
0.3%
17.761
0.3%

国债-老债.73
Real number (ℝ)

ZEROS

Distinct324
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8073298429
Minimum-29.75
Maximum28.97
Zeros14
Zeros (%)3.7%
Negative214
Negative (%)56.0%
Memory size3.1 KiB
2022-03-24T10:34:38.995739image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.75
5-th percentile-11.0485
Q1-3.5075
median-0.63
Q31.565
95-th percentile8.8175
Maximum28.97
Range58.72
Interquartile range (IQR)5.0725

Descriptive statistics

Standard deviation6.458278798
Coefficient of variation (CV)-7.999554153
Kurtosis4.856050756
Mean-0.8073298429
Median Absolute Deviation (MAD)2.585
Skewness0.05716508394
Sum-308.4
Variance41.70936503
MonotonicityNot monotonic
2022-03-24T10:34:39.040788image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-3.853
 
0.8%
-0.753
 
0.8%
-1.43
 
0.8%
0.523
 
0.8%
-0.83
 
0.8%
-1.392
 
0.5%
-0.212
 
0.5%
4.192
 
0.5%
2.612
 
0.5%
Other values (314)345
90.3%
ValueCountFrequency (%)
-29.751
0.3%
-27.161
0.3%
-26.371
0.3%
-19.271
0.3%
-19.21
0.3%
ValueCountFrequency (%)
28.971
0.3%
25.151
0.3%
21.951
0.3%
20.921
0.3%
18.981
0.3%

国债-老债.74
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.072931937
Minimum-70.17
Maximum39.11
Zeros13
Zeros (%)3.4%
Negative222
Negative (%)58.1%
Memory size3.1 KiB
2022-03-24T10:34:39.090356image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.17
5-th percentile-17.728
Q1-5.905
median-1.155
Q32.595
95-th percentile12.2205
Maximum39.11
Range109.28
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.6352636
Coefficient of variation (CV)-5.130541629
Kurtosis8.292644544
Mean-2.072931937
Median Absolute Deviation (MAD)4.15
Skewness-1.172099878
Sum-791.86
Variance113.1088318
MonotonicityNot monotonic
2022-03-24T10:34:39.137925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.423
 
0.8%
-1.373
 
0.8%
8.722
 
0.5%
-2.82
 
0.5%
-14.632
 
0.5%
-0.192
 
0.5%
-12.072
 
0.5%
0.082
 
0.5%
-4.082
 
0.5%
Other values (328)349
91.4%
ValueCountFrequency (%)
-70.171
0.3%
-52.421
0.3%
-51.641
0.3%
-45.431
0.3%
-34.641
0.3%
ValueCountFrequency (%)
39.111
0.3%
37.271
0.3%
30.71
0.3%
28.331
0.3%
27.921
0.3%

国债-老债.75
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03321989529
Minimum-9.25
Maximum2.23
Zeros359
Zeros (%)94.0%
Negative12
Negative (%)3.1%
Memory size3.1 KiB
2022-03-24T10:34:39.179019image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.25
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.23
Range11.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6511442372
Coefficient of variation (CV)-19.6010322
Kurtosis115.530075
Mean-0.03321989529
Median Absolute Deviation (MAD)0
Skewness-8.720894792
Sum-12.69
Variance0.4239888177
MonotonicityNot monotonic
2022-03-24T10:34:39.217886image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0359
94.0%
2.232
 
0.5%
0.222
 
0.5%
1.521
 
0.3%
-4.511
 
0.3%
-0.461
 
0.3%
-2.961
 
0.3%
-9.251
 
0.3%
-0.581
 
0.3%
-1.061
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-9.251
0.3%
-4.511
0.3%
-3.691
0.3%
-2.961
0.3%
-1.961
0.3%
ValueCountFrequency (%)
2.232
0.5%
2.171
0.3%
1.721
0.3%
1.521
0.3%
1.251
0.3%

国债-老债.76
Real number (ℝ)

ZEROS

Distinct17
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00112565445
Minimum-2.65
Maximum2.22
Zeros365
Zeros (%)95.5%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:39.254225image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.65
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.22
Range4.87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2241450129
Coefficient of variation (CV)-199.1241742
Kurtosis89.93056198
Mean-0.00112565445
Median Absolute Deviation (MAD)0
Skewness-0.5102148385
Sum-0.43
Variance0.05024098679
MonotonicityNot monotonic
2022-03-24T10:34:39.288722image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0365
95.5%
0.522
 
0.5%
-0.571
 
0.3%
-0.461
 
0.3%
2.221
 
0.3%
1.881
 
0.3%
0.651
 
0.3%
-0.631
 
0.3%
-1.041
 
0.3%
0.421
 
0.3%
Other values (7)7
 
1.8%
ValueCountFrequency (%)
-2.651
0.3%
-1.041
0.3%
-0.631
0.3%
-0.571
0.3%
-0.461
0.3%
ValueCountFrequency (%)
2.221
0.3%
1.881
0.3%
0.651
0.3%
0.522
0.5%
0.421
0.3%

国债-老债.77
Real number (ℝ)

ZEROS

Distinct244
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00387434555
Minimum-16.54
Maximum14.62
Zeros42
Zeros (%)11.0%
Negative171
Negative (%)44.8%
Memory size3.1 KiB
2022-03-24T10:34:39.330566image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.54
5-th percentile-2.7265
Q1-0.8075
median0
Q30.7275
95-th percentile3.1575
Maximum14.62
Range31.16
Interquartile range (IQR)1.535

Descriptive statistics

Standard deviation2.328025233
Coefficient of variation (CV)600.8821885
Kurtosis14.32884903
Mean0.00387434555
Median Absolute Deviation (MAD)0.755
Skewness0.277640923
Sum1.48
Variance5.419701485
MonotonicityNot monotonic
2022-03-24T10:34:39.375970image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
 
11.0%
0.1111
 
2.9%
-0.16
 
1.6%
0.096
 
1.6%
-0.315
 
1.3%
-0.015
 
1.3%
0.524
 
1.0%
0.014
 
1.0%
-0.154
 
1.0%
0.983
 
0.8%
Other values (234)292
76.4%
ValueCountFrequency (%)
-16.541
0.3%
-9.161
0.3%
-7.451
0.3%
-7.321
0.3%
-6.141
0.3%
ValueCountFrequency (%)
14.621
0.3%
11.911
0.3%
11.321
0.3%
7.611
0.3%
7.311
0.3%

国债-老债.78
Real number (ℝ)

ZEROS

Distinct31
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004214659686
Minimum-1.32
Maximum2.23
Zeros326
Zeros (%)85.3%
Negative32
Negative (%)8.4%
Memory size3.1 KiB
2022-03-24T10:34:39.420610image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.32
5-th percentile-0.31
Q10
median0
Q30
95-th percentile0.2
Maximum2.23
Range3.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2678695691
Coefficient of variation (CV)63.55663067
Kurtosis30.01300038
Mean0.004214659686
Median Absolute Deviation (MAD)0
Skewness3.126885742
Sum1.61
Variance0.07175410603
MonotonicityNot monotonic
2022-03-24T10:34:39.460017image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0326
85.3%
0.55
 
1.3%
-0.415
 
1.3%
-0.214
 
1.0%
-0.314
 
1.0%
-0.24
 
1.0%
-0.513
 
0.8%
0.513
 
0.8%
-0.632
 
0.5%
0.212
 
0.5%
Other values (21)24
 
6.3%
ValueCountFrequency (%)
-1.321
0.3%
-1.141
0.3%
-1.021
0.3%
-0.811
0.3%
-0.632
0.5%
ValueCountFrequency (%)
2.231
0.3%
2.081
0.3%
1.681
0.3%
1.291
0.3%
1.141
0.3%

国债-老债.79
Real number (ℝ)

ZEROS

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.08005236
Minimum-173.5
Maximum95.86
Zeros11
Zeros (%)2.9%
Negative270
Negative (%)70.7%
Memory size3.1 KiB
2022-03-24T10:34:39.505862image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-173.5
5-th percentile-61.18
Q1-33.6975
median-12.15
Q31.445
95-th percentile29.9215
Maximum95.86
Range269.36
Interquartile range (IQR)35.1425

Descriptive statistics

Standard deviation29.63612575
Coefficient of variation (CV)-1.965253505
Kurtosis2.4073396
Mean-15.08005236
Median Absolute Deviation (MAD)16.695
Skewness-0.324335123
Sum-5760.58
Variance878.2999496
MonotonicityNot monotonic
2022-03-24T10:34:39.557371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-40.422
 
0.5%
-61.182
 
0.5%
12.622
 
0.5%
-24.252
 
0.5%
-22.732
 
0.5%
3.972
 
0.5%
-7.052
 
0.5%
-27.411
 
0.3%
-45.951
 
0.3%
Other values (355)355
92.9%
ValueCountFrequency (%)
-173.51
0.3%
-108.221
0.3%
-92.371
0.3%
-85.31
0.3%
-85.051
0.3%
ValueCountFrequency (%)
95.861
0.3%
74.181
0.3%
63.951
0.3%
51.481
0.3%
51.361
0.3%

国债-老债.80
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0604973822
Minimum-72.89
Maximum87.33
Zeros13
Zeros (%)3.4%
Negative203
Negative (%)53.1%
Memory size3.1 KiB
2022-03-24T10:34:39.606946image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-72.89
5-th percentile-19.5275
Q1-5.8
median-0.415
Q34.015
95-th percentile19.4005
Maximum87.33
Range160.22
Interquartile range (IQR)9.815

Descriptive statistics

Standard deviation14.43252617
Coefficient of variation (CV)238.5644741
Kurtosis11.65724269
Mean0.0604973822
Median Absolute Deviation (MAD)5
Skewness1.564993052
Sum23.11
Variance208.2978116
MonotonicityNot monotonic
2022-03-24T10:34:39.652554image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-3.132
 
0.5%
2.642
 
0.5%
-0.252
 
0.5%
-24.582
 
0.5%
1.312
 
0.5%
-1.962
 
0.5%
6.452
 
0.5%
-4.042
 
0.5%
3.052
 
0.5%
Other values (343)351
91.9%
ValueCountFrequency (%)
-72.891
0.3%
-44.561
0.3%
-39.461
0.3%
-38.281
0.3%
-30.731
0.3%
ValueCountFrequency (%)
87.331
0.3%
82.51
0.3%
81.791
0.3%
67.161
0.3%
57.191
0.3%

国债-老债.81
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.008638743
Minimum-57.05
Maximum169.6
Zeros13
Zeros (%)3.4%
Negative231
Negative (%)60.5%
Memory size3.1 KiB
2022-03-24T10:34:39.703429image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-57.05
5-th percentile-27.296
Q1-10.025
median-2.55
Q33.61
95-th percentile26.9575
Maximum169.6
Range226.65
Interquartile range (IQR)13.635

Descriptive statistics

Standard deviation22.45640878
Coefficient of variation (CV)-22.26407515
Kurtosis17.71051962
Mean-1.008638743
Median Absolute Deviation (MAD)6.755
Skewness3.046067163
Sum-385.3
Variance504.2902953
MonotonicityNot monotonic
2022-03-24T10:34:39.750312image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-2.333
 
0.8%
3.83
 
0.8%
-1.743
 
0.8%
-5.022
 
0.5%
6.072
 
0.5%
-1.322
 
0.5%
-3.52
 
0.5%
3.612
 
0.5%
0.842
 
0.5%
Other values (343)348
91.1%
ValueCountFrequency (%)
-57.051
0.3%
-56.361
0.3%
-53.851
0.3%
-52.691
0.3%
-52.361
0.3%
ValueCountFrequency (%)
169.61
0.3%
149.61
0.3%
107.411
0.3%
107.021
0.3%
91.811
0.3%

国债-老债.82
Real number (ℝ)

ZEROS

Distinct350
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7827225131
Minimum-41.76
Maximum231.71
Zeros13
Zeros (%)3.4%
Negative227
Negative (%)59.4%
Memory size3.1 KiB
2022-03-24T10:34:39.797059image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-41.76
5-th percentile-16.822
Q1-6.6325
median-1.305
Q32.8475
95-th percentile12.784
Maximum231.71
Range273.47
Interquartile range (IQR)9.48

Descriptive statistics

Standard deviation17.6916985
Coefficient of variation (CV)-22.60277199
Kurtosis100.7082144
Mean-0.7827225131
Median Absolute Deviation (MAD)4.85
Skewness8.422444406
Sum-299
Variance312.9961957
MonotonicityNot monotonic
2022-03-24T10:34:39.841808image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.412
 
0.5%
5.52
 
0.5%
-8.592
 
0.5%
6.762
 
0.5%
0.582
 
0.5%
-1.52
 
0.5%
2.142
 
0.5%
-6.442
 
0.5%
-6.172
 
0.5%
Other values (340)351
91.9%
ValueCountFrequency (%)
-41.761
0.3%
-35.221
0.3%
-34.541
0.3%
-31.151
0.3%
-27.311
0.3%
ValueCountFrequency (%)
231.711
0.3%
170.181
0.3%
67.141
0.3%
31.781
0.3%
28.231
0.3%

国债-老债.83
Real number (ℝ)

ZEROS

Distinct332
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.389921466
Minimum-48.2
Maximum184.41
Zeros15
Zeros (%)3.9%
Negative216
Negative (%)56.5%
Memory size3.1 KiB
2022-03-24T10:34:39.887792image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-48.2
5-th percentile-15.6495
Q1-4.8075
median-0.72
Q32.0425
95-th percentile9.1995
Maximum184.41
Range232.61
Interquartile range (IQR)6.85

Descriptive statistics

Standard deviation16.82090645
Coefficient of variation (CV)-43.13921627
Kurtosis64.72557116
Mean-0.389921466
Median Absolute Deviation (MAD)3.17
Skewness6.775535171
Sum-148.95
Variance282.9428937
MonotonicityNot monotonic
2022-03-24T10:34:39.935854image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
1.034
 
1.0%
-1.923
 
0.8%
-1.943
 
0.8%
-2.083
 
0.8%
-0.882
 
0.5%
-2.912
 
0.5%
2.832
 
0.5%
2.422
 
0.5%
-0.742
 
0.5%
Other values (322)344
90.1%
ValueCountFrequency (%)
-48.21
0.3%
-47.131
0.3%
-31.431
0.3%
-27.431
0.3%
-27.391
0.3%
ValueCountFrequency (%)
184.411
0.3%
154.391
0.3%
108.781
0.3%
107.321
0.3%
28.921
0.3%

国债-老债.84
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.401727749
Minimum-56.38
Maximum199.47
Zeros13
Zeros (%)3.4%
Negative227
Negative (%)59.4%
Memory size3.1 KiB
2022-03-24T10:34:39.983070image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.38
5-th percentile-24.048
Q1-8.8275
median-2.28
Q34.2825
95-th percentile19.729
Maximum199.47
Range255.85
Interquartile range (IQR)13.11

Descriptive statistics

Standard deviation19.56524219
Coefficient of variation (CV)-13.9579474
Kurtosis48.84851522
Mean-1.401727749
Median Absolute Deviation (MAD)6.55
Skewness5.246322967
Sum-535.46
Variance382.798702
MonotonicityNot monotonic
2022-03-24T10:34:40.032049image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-2.852
 
0.5%
1.032
 
0.5%
5.442
 
0.5%
-7.882
 
0.5%
9.352
 
0.5%
-12.012
 
0.5%
-1.312
 
0.5%
-11.732
 
0.5%
-1.792
 
0.5%
Other values (341)351
91.9%
ValueCountFrequency (%)
-56.381
0.3%
-40.321
0.3%
-38.331
0.3%
-37.021
0.3%
-36.751
0.3%
ValueCountFrequency (%)
199.471
0.3%
179.081
0.3%
100.331
0.3%
53.971
0.3%
38.031
0.3%

国债-老债.85
Real number (ℝ)

ZEROS

Distinct45
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04164921466
Minimum-3.34
Maximum7.25
Zeros329
Zeros (%)86.1%
Negative24
Negative (%)6.3%
Memory size3.1 KiB
2022-03-24T10:34:40.082737image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.34
5-th percentile-0.1095
Q10
median0
Q30
95-th percentile0.22
Maximum7.25
Range10.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6868858956
Coefficient of variation (CV)16.49216921
Kurtosis44.43820305
Mean0.04164921466
Median Absolute Deviation (MAD)0
Skewness4.235086672
Sum15.91
Variance0.4718122336
MonotonicityNot monotonic
2022-03-24T10:34:40.128401image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0329
86.1%
0.213
 
0.8%
-0.572
 
0.5%
-0.492
 
0.5%
-0.462
 
0.5%
2.732
 
0.5%
-0.012
 
0.5%
0.112
 
0.5%
0.222
 
0.5%
-1.521
 
0.3%
Other values (35)35
 
9.2%
ValueCountFrequency (%)
-3.341
0.3%
-3.251
0.3%
-2.231
0.3%
-2.171
0.3%
-1.991
0.3%
ValueCountFrequency (%)
7.251
0.3%
4.511
0.3%
3.691
0.3%
3.331
0.3%
3.251
0.3%

国债-老债.86
Real number (ℝ)

ZEROS

Distinct32
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007853403141
Minimum-2.72
Maximum2.72
Zeros345
Zeros (%)90.3%
Negative16
Negative (%)4.2%
Memory size3.1 KiB
2022-03-24T10:34:40.171568image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum2.72
Range5.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2393124436
Coefficient of variation (CV)30.47245115
Kurtosis88.00285504
Mean0.007853403141
Median Absolute Deviation (MAD)0
Skewness0.1948846959
Sum3
Variance0.05727044564
MonotonicityNot monotonic
2022-03-24T10:34:40.214232image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0345
90.3%
-0.212
 
0.5%
-0.572
 
0.5%
0.012
 
0.5%
-0.112
 
0.5%
0.312
 
0.5%
-0.222
 
0.5%
0.641
 
0.3%
-0.641
 
0.3%
-0.521
 
0.3%
Other values (22)22
 
5.8%
ValueCountFrequency (%)
-2.721
0.3%
-0.641
0.3%
-0.572
0.5%
-0.551
0.3%
-0.541
0.3%
ValueCountFrequency (%)
2.721
0.3%
0.871
0.3%
0.771
0.3%
0.651
0.3%
0.641
0.3%

国债-老债.87
Real number (ℝ)

ZEROS

Distinct309
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3247382199
Minimum-31.05
Maximum29.47
Zeros17
Zeros (%)4.5%
Negative187
Negative (%)49.0%
Memory size3.1 KiB
2022-03-24T10:34:40.260406image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-31.05
5-th percentile-6.585
Q1-1.535
median0
Q31.3475
95-th percentile5.0185
Maximum29.47
Range60.52
Interquartile range (IQR)2.8825

Descriptive statistics

Standard deviation4.701545991
Coefficient of variation (CV)-14.47795702
Kurtosis12.52264575
Mean-0.3247382199
Median Absolute Deviation (MAD)1.42
Skewness-0.5218894097
Sum-124.05
Variance22.10453471
MonotonicityNot monotonic
2022-03-24T10:34:40.307313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
4.5%
-0.15
 
1.3%
-0.444
 
1.0%
-0.413
 
0.8%
-0.23
 
0.8%
0.73
 
0.8%
-0.213
 
0.8%
-0.093
 
0.8%
-0.173
 
0.8%
-3.812
 
0.5%
Other values (299)336
88.0%
ValueCountFrequency (%)
-31.051
0.3%
-21.41
0.3%
-21.081
0.3%
-16.161
0.3%
-16.091
0.3%
ValueCountFrequency (%)
29.471
0.3%
20.31
0.3%
17.581
0.3%
15.471
0.3%
11.51
0.3%

国债-老债.88
Real number (ℝ)

ZEROS

Distinct121
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02829842932
Minimum-11.25
Maximum11.25
Zeros189
Zeros (%)49.5%
Negative93
Negative (%)24.3%
Memory size3.1 KiB
2022-03-24T10:34:40.358130image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.25
5-th percentile-1.1995
Q10
median0
Q30.0425
95-th percentile1.1995
Maximum11.25
Range22.5
Interquartile range (IQR)0.0425

Descriptive statistics

Standard deviation1.253560173
Coefficient of variation (CV)44.29787106
Kurtosis40.78662151
Mean0.02829842932
Median Absolute Deviation (MAD)0.01
Skewness0.9568115527
Sum10.81
Variance1.571413108
MonotonicityNot monotonic
2022-03-24T10:34:40.404961image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0189
49.5%
0.112
 
3.1%
-0.16
 
1.6%
-0.115
 
1.3%
0.215
 
1.3%
-0.514
 
1.0%
-0.224
 
1.0%
-0.014
 
1.0%
0.114
 
1.0%
-0.363
 
0.8%
Other values (111)146
38.2%
ValueCountFrequency (%)
-11.251
0.3%
-4.71
0.3%
-3.931
0.3%
-3.451
0.3%
-3.341
0.3%
ValueCountFrequency (%)
11.251
0.3%
8.551
0.3%
5.771
0.3%
4.191
0.3%
4.021
0.3%

国债-老债.89
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.769109948
Minimum-137.3
Maximum357.68
Zeros13
Zeros (%)3.4%
Negative225
Negative (%)58.9%
Memory size3.1 KiB
2022-03-24T10:34:40.749013image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-137.3
5-th percentile-60.477
Q1-30.9025
median-7.305
Q315.8975
95-th percentile65.5145
Maximum357.68
Range494.98
Interquartile range (IQR)46.8

Descriptive statistics

Standard deviation49.18530989
Coefficient of variation (CV)-13.04958215
Kurtosis14.06575982
Mean-3.769109948
Median Absolute Deviation (MAD)23.41
Skewness2.526031484
Sum-1439.8
Variance2419.194709
MonotonicityNot monotonic
2022-03-24T10:34:40.796893image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-15.862
 
0.5%
-13.132
 
0.5%
-10.932
 
0.5%
-35.52
 
0.5%
-23.722
 
0.5%
-45.752
 
0.5%
-18.522
 
0.5%
1.132
 
0.5%
-1.211
 
0.3%
Other values (352)352
92.1%
ValueCountFrequency (%)
-137.31
0.3%
-122.771
0.3%
-93.621
0.3%
-89.551
0.3%
-86.481
0.3%
ValueCountFrequency (%)
357.681
0.3%
306.441
0.3%
265.991
0.3%
196.211
0.3%
167.571
0.3%

地方政府债
Real number (ℝ)

ZEROS

Distinct25
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07287958115
Minimum-3.29
Maximum1.01
Zeros345
Zeros (%)90.3%
Negative32
Negative (%)8.4%
Memory size3.1 KiB
2022-03-24T10:34:40.840011image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.29
5-th percentile-0.41
Q10
median0
Q30
95-th percentile0
Maximum1.01
Range4.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3541120738
Coefficient of variation (CV)-4.85886538
Kurtosis35.82149883
Mean-0.07287958115
Median Absolute Deviation (MAD)0
Skewness-5.523094016
Sum-27.84
Variance0.1253953608
MonotonicityNot monotonic
2022-03-24T10:34:40.877764image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0345
90.3%
-0.314
 
1.0%
-0.514
 
1.0%
-0.413
 
0.8%
-1.023
 
0.8%
-0.13
 
0.8%
-0.22
 
0.5%
-2.051
 
0.3%
-0.211
 
0.3%
0.21
 
0.3%
Other values (15)15
 
3.9%
ValueCountFrequency (%)
-3.291
0.3%
-2.561
0.3%
-2.261
0.3%
-2.071
0.3%
-2.051
0.3%
ValueCountFrequency (%)
1.011
0.3%
0.31
0.3%
0.21
0.3%
0.11
0.3%
0.051
0.3%

地方政府债.1
Real number (ℝ)

ZEROS

Distinct51
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1080628272
Minimum-7.7
Maximum2.01
Zeros301
Zeros (%)78.8%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:34:40.921963image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.7
5-th percentile-1.014
Q10
median0
Q30
95-th percentile0.1
Maximum2.01
Range9.71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6359207401
Coefficient of variation (CV)-5.884731655
Kurtosis61.64491056
Mean-0.1080628272
Median Absolute Deviation (MAD)0
Skewness-6.145373639
Sum-41.28
Variance0.4043951876
MonotonicityNot monotonic
2022-03-24T10:34:40.970317image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0301
78.8%
-0.27
 
1.8%
-0.526
 
1.6%
0.15
 
1.3%
-0.514
 
1.0%
-0.14
 
1.0%
-0.213
 
0.8%
0.33
 
0.8%
-1.033
 
0.8%
-0.33
 
0.8%
Other values (41)43
 
11.3%
ValueCountFrequency (%)
-7.71
0.3%
-4.361
0.3%
-3.361
0.3%
-2.681
0.3%
-2.621
0.3%
ValueCountFrequency (%)
2.011
0.3%
1.81
0.3%
1.41
0.3%
1.21
0.3%
1.021
0.3%

地方政府债.2
Real number (ℝ)

ZEROS

Distinct49
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01238219895
Minimum-3.42
Maximum3.18
Zeros313
Zeros (%)81.9%
Negative31
Negative (%)8.1%
Memory size3.1 KiB
2022-03-24T10:34:41.016837image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.42
5-th percentile-0.52
Q10
median0
Q30
95-th percentile0.61
Maximum3.18
Range6.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4762818929
Coefficient of variation (CV)38.46504928
Kurtosis19.65099371
Mean0.01238219895
Median Absolute Deviation (MAD)0
Skewness-0.009507279615
Sum4.73
Variance0.2268444415
MonotonicityNot monotonic
2022-03-24T10:34:41.061591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0313
81.9%
-0.524
 
1.0%
0.83
 
0.8%
0.13
 
0.8%
0.33
 
0.8%
-0.513
 
0.8%
1.033
 
0.8%
0.612
 
0.5%
0.522
 
0.5%
0.62
 
0.5%
Other values (39)44
 
11.5%
ValueCountFrequency (%)
-3.421
0.3%
-2.411
0.3%
-2.042
0.5%
-1.531
0.3%
-1.321
0.3%
ValueCountFrequency (%)
3.181
0.3%
2.811
0.3%
2.041
0.3%
1.881
0.3%
1.31
0.3%

地方政府债.3
Real number (ℝ)

ZEROS

Distinct53
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3140575916
Minimum-2.16
Maximum10.61
Zeros304
Zeros (%)79.6%
Negative9
Negative (%)2.4%
Memory size3.1 KiB
2022-03-24T10:34:41.110740image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.16
5-th percentile0
Q10
median0
Q30
95-th percentile2.5
Maximum10.61
Range12.77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.173714979
Coefficient of variation (CV)3.737260332
Kurtosis30.93012128
Mean0.3140575916
Median Absolute Deviation (MAD)0
Skewness4.918401458
Sum119.97
Variance1.377606852
MonotonicityNot monotonic
2022-03-24T10:34:41.161041image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0304
79.6%
0.55
 
1.3%
0.14
 
1.0%
0.84
 
1.0%
0.64
 
1.0%
0.24
 
1.0%
0.33
 
0.8%
2.53
 
0.8%
2.812
 
0.5%
12
 
0.5%
Other values (43)47
 
12.3%
ValueCountFrequency (%)
-2.161
0.3%
-1.721
0.3%
-1.311
0.3%
-1.11
0.3%
-1.021
0.3%
ValueCountFrequency (%)
10.611
0.3%
9.51
0.3%
6.71
0.3%
6.31
0.3%
5.911
0.3%

地方政府债.4
Real number (ℝ)

ZEROS

Distinct83
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1179057592
Minimum-17.45
Maximum19.29
Zeros269
Zeros (%)70.4%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:34:41.209969image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.45
5-th percentile-1.1275
Q10
median0
Q30
95-th percentile0.999
Maximum19.29
Range36.74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.930489803
Coefficient of variation (CV)16.37315952
Kurtosis61.0920664
Mean0.1179057592
Median Absolute Deviation (MAD)0
Skewness2.972561074
Sum45.04
Variance3.726790878
MonotonicityNot monotonic
2022-03-24T10:34:41.256496image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0269
70.4%
0.54
 
1.0%
0.24
 
1.0%
0.524
 
1.0%
0.493
 
0.8%
-0.53
 
0.8%
-0.542
 
0.5%
0.392
 
0.5%
-0.42
 
0.5%
-12
 
0.5%
Other values (73)87
 
22.8%
ValueCountFrequency (%)
-17.451
0.3%
-4.91
0.3%
-4.341
0.3%
-3.81
0.3%
-2.811
0.3%
ValueCountFrequency (%)
19.291
0.3%
17.451
0.3%
8.411
0.3%
7.51
0.3%
6.291
0.3%

地方政府债.5
Real number (ℝ)

ZEROS

Distinct58
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2915968586
Minimum-11.2
Maximum26.8
Zeros309
Zeros (%)80.9%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:41.305730image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.2
5-th percentile0
Q10
median0
Q30
95-th percentile2.1095
Maximum26.8
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.823049942
Coefficient of variation (CV)6.251953298
Kurtosis125.8340472
Mean0.2915968586
Median Absolute Deviation (MAD)0
Skewness8.44828135
Sum111.39
Variance3.323511092
MonotonicityNot monotonic
2022-03-24T10:34:41.354296image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0309
80.9%
0.45
 
1.3%
0.15
 
1.3%
0.23
 
0.8%
0.193
 
0.8%
1.012
 
0.5%
0.292
 
0.5%
0.82
 
0.5%
12
 
0.5%
4.611
 
0.3%
Other values (48)48
 
12.6%
ValueCountFrequency (%)
-11.21
0.3%
-4.651
0.3%
-2.71
0.3%
-1.531
0.3%
-11
0.3%
ValueCountFrequency (%)
26.81
0.3%
11.81
0.3%
6.91
0.3%
5.311
0.3%
51
0.3%

地方政府债.6
Real number (ℝ)

ZEROS

Distinct101
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.023481675
Minimum-0.62
Maximum30.44
Zeros259
Zeros (%)67.8%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:41.404659image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.62
5-th percentile0
Q10
median0
Q30.6
95-th percentile5.3295
Maximum30.44
Range31.06
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation2.734108303
Coefficient of variation (CV)2.671379829
Kurtosis44.81039466
Mean1.023481675
Median Absolute Deviation (MAD)0
Skewness5.591231446
Sum390.97
Variance7.475348214
MonotonicityNot monotonic
2022-03-24T10:34:41.451236image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0259
67.8%
0.25
 
1.3%
0.34
 
1.0%
0.513
 
0.8%
2.72
 
0.5%
3.392
 
0.5%
0.412
 
0.5%
2.072
 
0.5%
3.242
 
0.5%
2.832
 
0.5%
Other values (91)99
 
25.9%
ValueCountFrequency (%)
-0.621
 
0.3%
-0.221
 
0.3%
0259
67.8%
0.12
 
0.5%
0.25
 
1.3%
ValueCountFrequency (%)
30.441
0.3%
19.121
0.3%
18.441
0.3%
11.921
0.3%
11.11
0.3%

地方政府债.7
Real number (ℝ)

ZEROS

Distinct187
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.312329843
Minimum-1.71
Maximum68.62
Zeros118
Zeros (%)30.9%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:41.502966image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile0
Q10
median0.51
Q32.305
95-th percentile10.242
Maximum68.62
Range70.33
Interquartile range (IQR)2.305

Descriptive statistics

Standard deviation5.70979235
Coefficient of variation (CV)2.469281088
Kurtosis55.9320597
Mean2.312329843
Median Absolute Deviation (MAD)0.51
Skewness6.304519809
Sum883.31
Variance32.60172868
MonotonicityNot monotonic
2022-03-24T10:34:41.550155image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0118
30.9%
0.111
 
2.9%
0.517
 
1.8%
0.47
 
1.8%
0.216
 
1.6%
0.524
 
1.0%
-0.14
 
1.0%
0.34
 
1.0%
0.24
 
1.0%
0.54
 
1.0%
Other values (177)213
55.8%
ValueCountFrequency (%)
-1.711
0.3%
-1.361
0.3%
-0.411
0.3%
-0.251
0.3%
-0.21
0.3%
ValueCountFrequency (%)
68.621
0.3%
35.581
0.3%
34.241
0.3%
33.181
0.3%
25.641
0.3%

地方政府债.8
Real number (ℝ≥0)

ZEROS

Distinct114
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.53908377
Minimum0
Maximum142.69
Zeros245
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:41.602986image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile19.328
Maximum142.69
Range142.69
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation11.40667792
Coefficient of variation (CV)3.223059601
Kurtosis66.1385896
Mean3.53908377
Median Absolute Deviation (MAD)0
Skewness6.89479278
Sum1351.93
Variance130.1123013
MonotonicityNot monotonic
2022-03-24T10:34:41.658776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0245
64.1%
0.17
 
1.8%
0.24
 
1.0%
1.13
 
0.8%
0.43
 
0.8%
0.33
 
0.8%
2.53
 
0.8%
1.52
 
0.5%
1.22
 
0.5%
2.12
 
0.5%
Other values (104)108
28.3%
ValueCountFrequency (%)
0245
64.1%
0.031
 
0.3%
0.17
 
1.8%
0.121
 
0.3%
0.151
 
0.3%
ValueCountFrequency (%)
142.691
0.3%
73.341
0.3%
65.471
0.3%
58.121
0.3%
56.891
0.3%

地方政府债.9
Real number (ℝ)

ZEROS

Distinct287
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.429790576
Minimum-13.03
Maximum150.56
Zeros36
Zeros (%)9.4%
Negative35
Negative (%)9.2%
Memory size3.1 KiB
2022-03-24T10:34:41.714611image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.03
5-th percentile-0.6075
Q10.4
median2.39
Q38.1225
95-th percentile35.6005
Maximum150.56
Range163.59
Interquartile range (IQR)7.7225

Descriptive statistics

Standard deviation15.61379876
Coefficient of variation (CV)2.101512634
Kurtosis34.97745473
Mean7.429790576
Median Absolute Deviation (MAD)2.39
Skewness4.995177578
Sum2838.18
Variance243.7907118
MonotonicityNot monotonic
2022-03-24T10:34:41.767929image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
9.4%
0.25
 
1.3%
0.45
 
1.3%
0.34
 
1.0%
0.14
 
1.0%
0.714
 
1.0%
3.14
 
1.0%
0.213
 
0.8%
1.33
 
0.8%
-0.323
 
0.8%
Other values (277)311
81.4%
ValueCountFrequency (%)
-13.031
0.3%
-3.311
0.3%
-2.891
0.3%
-2.622
0.5%
-2.321
0.3%
ValueCountFrequency (%)
150.561
0.3%
142.61
0.3%
73.341
0.3%
67.091
0.3%
65.191
0.3%

地方政府债.10
Real number (ℝ)

ZEROS

Distinct180
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9035863874
Minimum-34.37
Maximum10.05
Zeros96
Zeros (%)25.1%
Negative66
Negative (%)17.3%
Memory size3.1 KiB
2022-03-24T10:34:41.823398image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-34.37
5-th percentile-1.911
Q10
median0.51
Q31.7525
95-th percentile5.1495
Maximum10.05
Range44.42
Interquartile range (IQR)1.7525

Descriptive statistics

Standard deviation3.025246606
Coefficient of variation (CV)3.348043583
Kurtosis52.38770388
Mean0.9035863874
Median Absolute Deviation (MAD)0.615
Skewness-4.395542651
Sum345.17
Variance9.152117025
MonotonicityNot monotonic
2022-03-24T10:34:41.872557image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
096
25.1%
0.5116
 
4.2%
1.0311
 
2.9%
-0.5110
 
2.6%
0.528
 
2.1%
0.625
 
1.3%
1.025
 
1.3%
1.235
 
1.3%
0.935
 
1.3%
1.134
 
1.0%
Other values (170)217
56.8%
ValueCountFrequency (%)
-34.371
0.3%
-18.371
0.3%
-6.211
0.3%
-6.011
0.3%
-5.151
0.3%
ValueCountFrequency (%)
10.051
0.3%
9.681
0.3%
8.471
0.3%
8.321
0.3%
8.271
0.3%

地方政府债.11
Real number (ℝ)

ZEROS

Distinct285
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.22013089
Minimum-21.22
Maximum22.05
Zeros34
Zeros (%)8.9%
Negative77
Negative (%)20.2%
Memory size3.1 KiB
2022-03-24T10:34:41.922650image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.22
5-th percentile-2.419
Q10
median1.305
Q33.62
95-th percentile9.3295
Maximum22.05
Range43.27
Interquartile range (IQR)3.62

Descriptive statistics

Standard deviation4.012836586
Coefficient of variation (CV)1.80747748
Kurtosis5.953637777
Mean2.22013089
Median Absolute Deviation (MAD)1.405
Skewness0.7750623191
Sum848.09
Variance16.10285746
MonotonicityNot monotonic
2022-03-24T10:34:41.971530image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034
 
8.9%
0.515
 
1.3%
-0.524
 
1.0%
0.524
 
1.0%
0.54
 
1.0%
1.554
 
1.0%
0.824
 
1.0%
0.23
 
0.8%
1.233
 
0.8%
-0.13
 
0.8%
Other values (275)314
82.2%
ValueCountFrequency (%)
-21.221
0.3%
-8.121
0.3%
-5.91
0.3%
-5.661
0.3%
-5.251
0.3%
ValueCountFrequency (%)
22.051
0.3%
20.971
0.3%
16.71
0.3%
16.431
0.3%
14.011
0.3%

地方政府债.12
Real number (ℝ)

ZEROS

Distinct319
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.190549738
Minimum-13.54
Maximum22.3
Zeros18
Zeros (%)4.7%
Negative57
Negative (%)14.9%
Memory size3.1 KiB
2022-03-24T10:34:42.020102image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.54
5-th percentile-1.6635
Q10.52
median2.615
Q35.1325
95-th percentile10.778
Maximum22.3
Range35.84
Interquartile range (IQR)4.6125

Descriptive statistics

Standard deviation4.139336673
Coefficient of variation (CV)1.297374125
Kurtosis2.851380507
Mean3.190549738
Median Absolute Deviation (MAD)2.37
Skewness0.5818711699
Sum1218.79
Variance17.1341081
MonotonicityNot monotonic
2022-03-24T10:34:42.067043image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.113
 
0.8%
2.953
 
0.8%
0.733
 
0.8%
0.93
 
0.8%
-0.213
 
0.8%
4.263
 
0.8%
1.713
 
0.8%
-0.122
 
0.5%
3.752
 
0.5%
Other values (309)339
88.7%
ValueCountFrequency (%)
-13.541
0.3%
-11.511
0.3%
-8.731
0.3%
-7.221
0.3%
-7.071
0.3%
ValueCountFrequency (%)
22.31
0.3%
19.451
0.3%
16.931
0.3%
15.651
0.3%
14.321
0.3%

地方政府债.13
Real number (ℝ)

ZEROS

Distinct271
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.415209424
Minimum-16.57
Maximum42.35
Zeros39
Zeros (%)10.2%
Negative56
Negative (%)14.7%
Memory size3.1 KiB
2022-03-24T10:34:42.118081image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.57
5-th percentile-1.6995
Q10.01
median1.415
Q33.4475
95-th percentile9.284
Maximum42.35
Range58.92
Interquartile range (IQR)3.4375

Descriptive statistics

Standard deviation4.64372682
Coefficient of variation (CV)1.922701515
Kurtosis21.69879007
Mean2.415209424
Median Absolute Deviation (MAD)1.415
Skewness3.204270478
Sum922.61
Variance21.56419877
MonotonicityNot monotonic
2022-03-24T10:34:42.164388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
039
 
10.2%
0.519
 
2.4%
0.57
 
1.8%
14
 
1.0%
0.314
 
1.0%
1.64
 
1.0%
0.713
 
0.8%
0.813
 
0.8%
0.613
 
0.8%
0.43
 
0.8%
Other values (261)303
79.3%
ValueCountFrequency (%)
-16.571
0.3%
-11.361
0.3%
-7.811
0.3%
-7.291
0.3%
-6.121
0.3%
ValueCountFrequency (%)
42.351
0.3%
29.021
0.3%
27.631
0.3%
25.111
0.3%
24.41
0.3%

地方政府债.14
Real number (ℝ)

ZEROS

Distinct286
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.777984293
Minimum-12.66
Maximum36.87
Zeros40
Zeros (%)10.5%
Negative87
Negative (%)22.8%
Memory size3.1 KiB
2022-03-24T10:34:42.211203image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.66
5-th percentile-3.476
Q10
median1.095
Q33.03
95-th percentile7.9915
Maximum36.87
Range49.53
Interquartile range (IQR)3.03

Descriptive statistics

Standard deviation4.462468318
Coefficient of variation (CV)2.509846872
Kurtosis18.24424221
Mean1.777984293
Median Absolute Deviation (MAD)1.475
Skewness2.8602617
Sum679.19
Variance19.91362349
MonotonicityNot monotonic
2022-03-24T10:34:42.258211image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
040
 
10.5%
14
 
1.0%
1.54
 
1.0%
3.053
 
0.8%
2.493
 
0.8%
1.643
 
0.8%
0.873
 
0.8%
0.293
 
0.8%
1.773
 
0.8%
1.083
 
0.8%
Other values (276)313
81.9%
ValueCountFrequency (%)
-12.661
0.3%
-10.111
0.3%
-9.711
0.3%
-7.861
0.3%
-6.61
0.3%
ValueCountFrequency (%)
36.871
0.3%
31.271
0.3%
26.041
0.3%
22.891
0.3%
19.861
0.3%

地方政府债.15
Real number (ℝ)

ZEROS

Distinct124
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1697643979
Minimum-10.66
Maximum7.54
Zeros198
Zeros (%)51.8%
Negative54
Negative (%)14.1%
Memory size3.1 KiB
2022-03-24T10:34:42.306327image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.66
5-th percentile-1.0975
Q10
median0
Q30.5
95-th percentile2.2095
Maximum7.54
Range18.2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.471140824
Coefficient of variation (CV)8.665779412
Kurtosis18.23523525
Mean0.1697643979
Median Absolute Deviation (MAD)0
Skewness-2.145625802
Sum64.85
Variance2.164255325
MonotonicityNot monotonic
2022-03-24T10:34:42.353024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0198
51.8%
-0.18
 
2.1%
1.017
 
1.8%
0.37
 
1.8%
0.95
 
1.3%
0.44
 
1.0%
-0.24
 
1.0%
0.84
 
1.0%
0.494
 
1.0%
0.213
 
0.8%
Other values (114)138
36.1%
ValueCountFrequency (%)
-10.661
0.3%
-9.491
0.3%
-7.11
0.3%
-6.921
0.3%
-5.821
0.3%
ValueCountFrequency (%)
7.541
0.3%
5.591
0.3%
5.171
0.3%
3.591
0.3%
3.571
0.3%

地方政府债.16
Real number (ℝ)

ZEROS

Distinct87
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07321989529
Minimum-29.98
Maximum4.3
Zeros259
Zeros (%)67.8%
Negative45
Negative (%)11.8%
Memory size3.1 KiB
2022-03-24T10:34:42.402385image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.98
5-th percentile-1
Q10
median0
Q30
95-th percentile1.398
Maximum4.3
Range34.28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.897846369
Coefficient of variation (CV)-25.91981812
Kurtosis164.9975597
Mean-0.07321989529
Median Absolute Deviation (MAD)0
Skewness-10.93134229
Sum-27.97
Variance3.601820839
MonotonicityNot monotonic
2022-03-24T10:34:42.449581image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0259
67.8%
0.38
 
2.1%
0.18
 
2.1%
0.46
 
1.6%
0.514
 
1.0%
-0.33
 
0.8%
-0.812
 
0.5%
1.722
 
0.5%
0.312
 
0.5%
-0.22
 
0.5%
Other values (77)86
 
22.5%
ValueCountFrequency (%)
-29.981
0.3%
-9.991
0.3%
-7.591
0.3%
-6.641
0.3%
-4.41
0.3%
ValueCountFrequency (%)
4.31
0.3%
4.21
0.3%
3.81
0.3%
3.491
0.3%
3.211
0.3%

地方政府债.17
Real number (ℝ)

ZEROS

Distinct110
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2897382199
Minimum-12.7
Maximum9.46
Zeros218
Zeros (%)57.1%
Negative101
Negative (%)26.4%
Memory size3.1 KiB
2022-03-24T10:34:42.501300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.7
5-th percentile-2.496
Q1-0.1
median0
Q30
95-th percentile0.7195
Maximum9.46
Range22.16
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation1.583021774
Coefficient of variation (CV)-5.463627734
Kurtosis26.34188238
Mean-0.2897382199
Median Absolute Deviation (MAD)0
Skewness-3.392292207
Sum-110.68
Variance2.505957937
MonotonicityNot monotonic
2022-03-24T10:34:42.548538image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0218
57.1%
-0.19
 
2.4%
-0.29
 
2.4%
0.316
 
1.6%
-0.35
 
1.3%
0.15
 
1.3%
-0.64
 
1.0%
0.24
 
1.0%
0.213
 
0.8%
-0.43
 
0.8%
Other values (100)116
30.4%
ValueCountFrequency (%)
-12.71
0.3%
-11.381
0.3%
-9.451
0.3%
-8.511
0.3%
-8.191
0.3%
ValueCountFrequency (%)
9.461
0.3%
31
0.3%
2.961
0.3%
2.381
0.3%
1.811
0.3%

地方政府债.18
Real number (ℝ)

ZEROS

Distinct87
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.039005236
Minimum-38.66
Maximum5.51
Zeros265
Zeros (%)69.4%
Negative96
Negative (%)25.1%
Memory size3.1 KiB
2022-03-24T10:34:42.598024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.66
5-th percentile-6.033
Q1-0.075
median0
Q30
95-th percentile0.2
Maximum5.51
Range44.17
Interquartile range (IQR)0.075

Descriptive statistics

Standard deviation3.562392301
Coefficient of variation (CV)-3.428656737
Kurtosis42.16998309
Mean-1.039005236
Median Absolute Deviation (MAD)0
Skewness-5.578487563
Sum-396.9
Variance12.6906389
MonotonicityNot monotonic
2022-03-24T10:34:42.645107image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0265
69.4%
0.24
 
1.0%
-0.44
 
1.0%
0.34
 
1.0%
-0.24
 
1.0%
-13
 
0.8%
-23
 
0.8%
0.53
 
0.8%
-0.53
 
0.8%
-0.32
 
0.5%
Other values (77)87
 
22.8%
ValueCountFrequency (%)
-38.661
0.3%
-23.51
0.3%
-20.191
0.3%
-19.891
0.3%
-16.941
0.3%
ValueCountFrequency (%)
5.511
0.3%
3.51
0.3%
1.61
0.3%
1.31
0.3%
1.011
0.3%

地方政府债.19
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.274685864
Minimum-34.11
Maximum65.25
Zeros11
Zeros (%)2.9%
Negative52
Negative (%)13.6%
Memory size3.1 KiB
2022-03-24T10:34:42.694870image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-34.11
5-th percentile-9.6725
Q13.8425
median9.09
Q315.775
95-th percentile26.4815
Maximum65.25
Range99.36
Interquartile range (IQR)11.9325

Descriptive statistics

Standard deviation11.21766973
Coefficient of variation (CV)1.209493227
Kurtosis3.159677002
Mean9.274685864
Median Absolute Deviation (MAD)5.855
Skewness0.098243787
Sum3542.93
Variance125.8361142
MonotonicityNot monotonic
2022-03-24T10:34:42.742613image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
11.832
 
0.5%
16.542
 
0.5%
14.412
 
0.5%
8.452
 
0.5%
6.892
 
0.5%
8.172
 
0.5%
11.792
 
0.5%
4.172
 
0.5%
7.532
 
0.5%
Other values (346)353
92.4%
ValueCountFrequency (%)
-34.111
0.3%
-271
0.3%
-25.671
0.3%
-24.151
0.3%
-22.261
0.3%
ValueCountFrequency (%)
65.251
0.3%
49.381
0.3%
47.021
0.3%
39.881
0.3%
39.731
0.3%

地方政府债.20
Real number (ℝ)

ZEROS

Distinct155
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4146073298
Minimum-13.49
Maximum11.71
Zeros155
Zeros (%)40.6%
Negative137
Negative (%)35.9%
Memory size3.1 KiB
2022-03-24T10:34:42.790662image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.49
5-th percentile-5.103
Q1-0.89
median0
Q30
95-th percentile3.321
Maximum11.71
Range25.2
Interquartile range (IQR)0.89

Descriptive statistics

Standard deviation2.681315388
Coefficient of variation (CV)-6.467120079
Kurtosis6.200823439
Mean-0.4146073298
Median Absolute Deviation (MAD)0.51
Skewness-0.9283286401
Sum-158.38
Variance7.189452208
MonotonicityNot monotonic
2022-03-24T10:34:42.839089image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0155
40.6%
-0.519
 
2.4%
-1.029
 
2.4%
1.015
 
1.3%
-0.35
 
1.3%
0.514
 
1.0%
-1.034
 
1.0%
1.034
 
1.0%
0.33
 
0.8%
0.623
 
0.8%
Other values (145)181
47.4%
ValueCountFrequency (%)
-13.491
0.3%
-12.851
0.3%
-10.941
0.3%
-10.361
0.3%
-9.291
0.3%
ValueCountFrequency (%)
11.711
0.3%
8.621
0.3%
7.921
0.3%
7.821
0.3%
7.381
0.3%

地方政府债.21
Real number (ℝ)

ZEROS

Distinct242
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2804188482
Minimum-18.13
Maximum24.46
Zeros94
Zeros (%)24.6%
Negative165
Negative (%)43.2%
Memory size3.1 KiB
2022-03-24T10:34:42.887103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.13
5-th percentile-5.9335
Q1-1.5275
median0
Q30.4975
95-th percentile5.5375
Maximum24.46
Range42.59
Interquartile range (IQR)2.025

Descriptive statistics

Standard deviation3.715274612
Coefficient of variation (CV)-13.24901887
Kurtosis12.34521375
Mean-0.2804188482
Median Absolute Deviation (MAD)1.135
Skewness0.9744264608
Sum-107.12
Variance13.80326544
MonotonicityNot monotonic
2022-03-24T10:34:42.935446image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
094
 
24.6%
-0.525
 
1.3%
-0.813
 
0.8%
-0.923
 
0.8%
-1.023
 
0.8%
-0.13
 
0.8%
-1.062
 
0.5%
0.212
 
0.5%
2.722
 
0.5%
-0.112
 
0.5%
Other values (232)263
68.8%
ValueCountFrequency (%)
-18.131
0.3%
-17.61
0.3%
-14.311
0.3%
-10.121
0.3%
-9.171
0.3%
ValueCountFrequency (%)
24.461
0.3%
23.681
0.3%
13.381
0.3%
10.771
0.3%
8.791
0.3%

地方政府债.22
Real number (ℝ)

ZEROS

Distinct284
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.462984293
Minimum-37.16
Maximum40.32
Zeros53
Zeros (%)13.9%
Negative133
Negative (%)34.8%
Memory size3.1 KiB
2022-03-24T10:34:42.983835image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.16
5-th percentile-6.2855
Q1-0.86
median0.22
Q33.1025
95-th percentile12.3455
Maximum40.32
Range77.48
Interquartile range (IQR)3.9625

Descriptive statistics

Standard deviation6.625162326
Coefficient of variation (CV)4.528525943
Kurtosis10.64457859
Mean1.462984293
Median Absolute Deviation (MAD)1.89
Skewness0.7844319678
Sum558.86
Variance43.89277585
MonotonicityNot monotonic
2022-03-24T10:34:43.032273image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
053
 
13.9%
-0.16
 
1.6%
0.535
 
1.3%
-0.35
 
1.3%
-1.313
 
0.8%
-0.22
 
0.5%
1.672
 
0.5%
-0.432
 
0.5%
-1.042
 
0.5%
0.32
 
0.5%
Other values (274)300
78.5%
ValueCountFrequency (%)
-37.161
0.3%
-31.771
0.3%
-17.671
0.3%
-14.791
0.3%
-12.481
0.3%
ValueCountFrequency (%)
40.321
0.3%
36.751
0.3%
27.591
0.3%
25.361
0.3%
25.281
0.3%

地方政府债.23
Real number (ℝ)

ZEROS

Distinct239
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3844764398
Minimum-33.43
Maximum22.18
Zeros82
Zeros (%)21.5%
Negative126
Negative (%)33.0%
Memory size3.1 KiB
2022-03-24T10:34:43.081564image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-33.43
5-th percentile-4.5095
Q1-0.535
median0
Q31.5525
95-th percentile5.6455
Maximum22.18
Range55.61
Interquartile range (IQR)2.0875

Descriptive statistics

Standard deviation4.044080553
Coefficient of variation (CV)10.51840928
Kurtosis18.76340089
Mean0.3844764398
Median Absolute Deviation (MAD)1.075
Skewness-1.323799644
Sum146.87
Variance16.35458752
MonotonicityNot monotonic
2022-03-24T10:34:43.126256image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
082
 
21.5%
-0.517
 
1.8%
0.515
 
1.3%
-1.014
 
1.0%
14
 
1.0%
1.33
 
0.8%
-0.13
 
0.8%
-0.23
 
0.8%
-0.53
 
0.8%
0.43
 
0.8%
Other values (229)265
69.4%
ValueCountFrequency (%)
-33.431
0.3%
-20.781
0.3%
-17.991
0.3%
-12.461
0.3%
-11.271
0.3%
ValueCountFrequency (%)
22.181
0.3%
15.511
0.3%
15.221
0.3%
12.991
0.3%
12.511
0.3%

地方政府债.24
Real number (ℝ)

ZEROS

Distinct254
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.964921466
Minimum-35.57
Maximum14.92
Zeros97
Zeros (%)25.4%
Negative100
Negative (%)26.2%
Memory size3.1 KiB
2022-03-24T10:34:43.173665image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-35.57
5-th percentile-3.458
Q1-0.185
median0
Q32.225
95-th percentile8.4155
Maximum14.92
Range50.49
Interquartile range (IQR)2.41

Descriptive statistics

Standard deviation4.037400202
Coefficient of variation (CV)4.184174924
Kurtosis18.56862502
Mean0.964921466
Median Absolute Deviation (MAD)1.09
Skewness-1.384354778
Sum368.6
Variance16.30060039
MonotonicityNot monotonic
2022-03-24T10:34:43.225338image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
097
 
25.4%
0.64
 
1.0%
0.213
 
0.8%
-0.593
 
0.8%
-0.22
 
0.5%
-0.92
 
0.5%
0.542
 
0.5%
-1.012
 
0.5%
1.52
 
0.5%
2.052
 
0.5%
Other values (244)263
68.8%
ValueCountFrequency (%)
-35.571
0.3%
-11.341
0.3%
-10.841
0.3%
-10.291
0.3%
-8.861
0.3%
ValueCountFrequency (%)
14.921
0.3%
131
0.3%
12.851
0.3%
12.51
0.3%
12.491
0.3%

地方政府债.25
Real number (ℝ)

ZEROS

Distinct78
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3947905759
Minimum-74.91
Maximum16.28
Zeros272
Zeros (%)71.2%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:34:43.277480image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.91
5-th percentile-1.0865
Q10
median0
Q30
95-th percentile1.563
Maximum16.28
Range91.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.963949599
Coefficient of variation (CV)-12.57362739
Kurtosis142.0264923
Mean-0.3947905759
Median Absolute Deviation (MAD)0
Skewness-10.38991338
Sum-150.81
Variance24.64079563
MonotonicityNot monotonic
2022-03-24T10:34:43.326095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0272
71.2%
-0.27
 
1.8%
-0.46
 
1.6%
0.65
 
1.3%
-0.15
 
1.3%
0.93
 
0.8%
-0.83
 
0.8%
0.33
 
0.8%
-0.32
 
0.5%
0.22
 
0.5%
Other values (68)74
 
19.4%
ValueCountFrequency (%)
-74.911
0.3%
-32.771
0.3%
-28.781
0.3%
-20.581
0.3%
-19.481
0.3%
ValueCountFrequency (%)
16.281
0.3%
12.591
0.3%
6.121
0.3%
5.331
0.3%
5.251
0.3%

地方政府债.26
Real number (ℝ)

ZEROS

Distinct98
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1761780105
Minimum-22.78
Maximum11.14
Zeros262
Zeros (%)68.6%
Negative68
Negative (%)17.8%
Memory size3.1 KiB
2022-03-24T10:34:43.376695image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-22.78
5-th percentile-1.7975
Q10
median0
Q30
95-th percentile1.51
Maximum11.14
Range33.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.182575485
Coefficient of variation (CV)-12.38846709
Kurtosis50.879556
Mean-0.1761780105
Median Absolute Deviation (MAD)0
Skewness-5.183343619
Sum-67.3
Variance4.763635748
MonotonicityNot monotonic
2022-03-24T10:34:43.424391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0262
68.6%
-0.27
 
1.8%
-0.14
 
1.0%
0.24
 
1.0%
0.613
 
0.8%
-0.42
 
0.5%
-0.522
 
0.5%
3.792
 
0.5%
-1.912
 
0.5%
1.292
 
0.5%
Other values (88)92
 
24.1%
ValueCountFrequency (%)
-22.781
0.3%
-19.081
0.3%
-12.991
0.3%
-10.871
0.3%
-8.491
0.3%
ValueCountFrequency (%)
11.141
0.3%
6.841
0.3%
4.811
0.3%
4.561
0.3%
4.141
0.3%

地方政府债.27
Real number (ℝ)

ZEROS

Distinct117
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004790575916
Minimum-17.49
Maximum9.45
Zeros231
Zeros (%)60.5%
Negative64
Negative (%)16.8%
Memory size3.1 KiB
2022-03-24T10:34:43.475108image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.49
5-th percentile-2.55
Q10
median0
Q30
95-th percentile2.588
Maximum9.45
Range26.94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.143851572
Coefficient of variation (CV)447.5143718
Kurtosis29.31432468
Mean0.004790575916
Median Absolute Deviation (MAD)0
Skewness-3.410252254
Sum1.83
Variance4.596099562
MonotonicityNot monotonic
2022-03-24T10:34:43.828015image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0231
60.5%
-0.16
 
1.6%
-0.434
 
1.0%
0.494
 
1.0%
14
 
1.0%
-0.213
 
0.8%
0.113
 
0.8%
-2.82
 
0.5%
-4.92
 
0.5%
-0.22
 
0.5%
Other values (107)121
31.7%
ValueCountFrequency (%)
-17.492
0.5%
-13.91
0.3%
-7.991
0.3%
-7.371
0.3%
-6.431
0.3%
ValueCountFrequency (%)
9.451
0.3%
8.591
0.3%
5.411
0.3%
5.141
0.3%
4.961
0.3%

地方政府债.28
Real number (ℝ)

ZEROS

Distinct86
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7061518325
Minimum-36.58
Maximum27.53
Zeros263
Zeros (%)68.8%
Negative92
Negative (%)24.1%
Memory size3.1 KiB
2022-03-24T10:34:43.879502image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-36.58
5-th percentile-4.5665
Q10
median0
Q30
95-th percentile0.295
Maximum27.53
Range64.11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.467496485
Coefficient of variation (CV)-4.910412075
Kurtosis56.10957492
Mean-0.7061518325
Median Absolute Deviation (MAD)0
Skewness-3.876314406
Sum-269.75
Variance12.02353187
MonotonicityNot monotonic
2022-03-24T10:34:43.928082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0263
68.8%
-0.17
 
1.8%
-0.27
 
1.8%
0.15
 
1.3%
-0.63
 
0.8%
-13
 
0.8%
-1.52
 
0.5%
-0.32
 
0.5%
-1.92
 
0.5%
0.32
 
0.5%
Other values (76)86
 
22.5%
ValueCountFrequency (%)
-36.581
0.3%
-30.581
0.3%
-13.691
0.3%
-12.891
0.3%
-12.481
0.3%
ValueCountFrequency (%)
27.531
0.3%
3.71
0.3%
3.371
0.3%
3.291
0.3%
3.141
0.3%

地方政府债.29
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8446596859
Minimum-134.9
Maximum84.68
Zeros11
Zeros (%)2.9%
Negative157
Negative (%)41.1%
Memory size3.1 KiB
2022-03-24T10:34:43.980100image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-134.9
5-th percentile-19.6215
Q1-3.345
median0.895
Q36.1925
95-th percentile20.933
Maximum84.68
Range219.58
Interquartile range (IQR)9.5375

Descriptive statistics

Standard deviation15.55000522
Coefficient of variation (CV)18.40978737
Kurtosis20.34157783
Mean0.8446596859
Median Absolute Deviation (MAD)4.81
Skewness-1.953090127
Sum322.66
Variance241.8026622
MonotonicityNot monotonic
2022-03-24T10:34:44.027404image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-2.463
 
0.8%
10.893
 
0.8%
1.082
 
0.5%
1.672
 
0.5%
1.262
 
0.5%
-1.542
 
0.5%
3.92
 
0.5%
-0.432
 
0.5%
4.332
 
0.5%
Other values (339)351
91.9%
ValueCountFrequency (%)
-134.91
0.3%
-88.991
0.3%
-49.531
0.3%
-46.861
0.3%
-46.761
0.3%
ValueCountFrequency (%)
84.681
0.3%
49.611
0.3%
38.271
0.3%
37.291
0.3%
37.21
0.3%

地方政府债.30
Real number (ℝ)

ZEROS

Distinct65
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1694502618
Minimum-53.65
Maximum23.78
Zeros302
Zeros (%)79.1%
Negative40
Negative (%)10.5%
Memory size3.1 KiB
2022-03-24T10:34:44.075210image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-53.65
5-th percentile-0.5195
Q10
median0
Q30
95-th percentile1.139
Maximum23.78
Range77.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.509896614
Coefficient of variation (CV)20.71343282
Kurtosis151.9790074
Mean0.1694502618
Median Absolute Deviation (MAD)0
Skewness-8.117328079
Sum64.73
Variance12.31937424
MonotonicityNot monotonic
2022-03-24T10:34:44.125286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0302
79.1%
-0.15
 
1.3%
-0.35
 
1.3%
-0.52
 
0.5%
-0.512
 
0.5%
0.32
 
0.5%
-0.312
 
0.5%
0.12
 
0.5%
-0.212
 
0.5%
-0.612
 
0.5%
Other values (55)56
 
14.7%
ValueCountFrequency (%)
-53.651
0.3%
-7.421
0.3%
-6.761
0.3%
-4.21
0.3%
-2.571
0.3%
ValueCountFrequency (%)
23.781
0.3%
14.121
0.3%
12.891
0.3%
11.351
0.3%
9.851
0.3%

地方政府债.31
Real number (ℝ)

ZEROS

Distinct124
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1163089005
Minimum-33.41
Maximum19.31
Zeros202
Zeros (%)52.9%
Negative91
Negative (%)23.8%
Memory size3.1 KiB
2022-03-24T10:34:44.179584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-33.41
5-th percentile-1.6465
Q10
median0
Q30
95-th percentile3.3545
Maximum19.31
Range52.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.242523763
Coefficient of variation (CV)27.87855228
Kurtosis44.17376413
Mean0.1163089005
Median Absolute Deviation (MAD)0
Skewness-2.933676175
Sum44.43
Variance10.51396036
MonotonicityNot monotonic
2022-03-24T10:34:44.230963image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0202
52.9%
-0.317
 
1.8%
-0.517
 
1.8%
1.035
 
1.3%
0.25
 
1.3%
-0.15
 
1.3%
0.34
 
1.0%
0.524
 
1.0%
-0.624
 
1.0%
-1.033
 
0.8%
Other values (114)136
35.6%
ValueCountFrequency (%)
-33.411
0.3%
-24.551
0.3%
-12.591
0.3%
-10.081
0.3%
-9.71
0.3%
ValueCountFrequency (%)
19.311
0.3%
13.771
0.3%
12.771
0.3%
12.611
0.3%
11.041
0.3%

地方政府债.32
Real number (ℝ)

ZEROS

Distinct204
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8520942408
Minimum-9.35
Maximum18.76
Zeros89
Zeros (%)23.3%
Negative113
Negative (%)29.6%
Memory size3.1 KiB
2022-03-24T10:34:44.278493image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.35
5-th percentile-2.232
Q1-0.2
median0
Q31.175
95-th percentile6.2985
Maximum18.76
Range28.11
Interquartile range (IQR)1.375

Descriptive statistics

Standard deviation3.030196465
Coefficient of variation (CV)3.556175268
Kurtosis9.770527137
Mean0.8520942408
Median Absolute Deviation (MAD)0.67
Skewness2.341530589
Sum325.5
Variance9.182090616
MonotonicityNot monotonic
2022-03-24T10:34:44.325347image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
089
 
23.3%
0.19
 
2.4%
-0.17
 
1.8%
0.26
 
1.6%
-0.26
 
1.6%
0.64
 
1.0%
-0.34
 
1.0%
0.54
 
1.0%
0.43
 
0.8%
-0.013
 
0.8%
Other values (194)247
64.7%
ValueCountFrequency (%)
-9.351
0.3%
-7.331
0.3%
-6.011
0.3%
-5.681
0.3%
-5.031
0.3%
ValueCountFrequency (%)
18.761
0.3%
16.241
0.3%
16.181
0.3%
15.41
0.3%
14.11
0.3%

地方政府债.33
Real number (ℝ)

ZEROS

Distinct140
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9039528796
Minimum-19.17
Maximum21.62
Zeros173
Zeros (%)45.3%
Negative61
Negative (%)16.0%
Memory size3.1 KiB
2022-03-24T10:34:44.375869image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-19.17
5-th percentile-0.996
Q10
median0
Q30.9
95-th percentile7.49
Maximum21.62
Range40.79
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation3.156450767
Coefficient of variation (CV)3.491831088
Kurtosis16.09695852
Mean0.9039528796
Median Absolute Deviation (MAD)0.2
Skewness1.831188889
Sum345.31
Variance9.963181447
MonotonicityNot monotonic
2022-03-24T10:34:44.423510image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0173
45.3%
-0.16
 
1.6%
0.56
 
1.6%
-0.35
 
1.3%
0.25
 
1.3%
0.35
 
1.3%
-0.55
 
1.3%
0.44
 
1.0%
-0.24
 
1.0%
0.14
 
1.0%
Other values (130)165
43.2%
ValueCountFrequency (%)
-19.171
0.3%
-13.771
0.3%
-6.211
0.3%
-4.081
0.3%
-3.161
0.3%
ValueCountFrequency (%)
21.621
0.3%
181
0.3%
16.261
0.3%
16.121
0.3%
13.021
0.3%

地方政府债.34
Real number (ℝ)

ZEROS

Distinct148
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02507853403
Minimum-18.74
Maximum28.33
Zeros195
Zeros (%)51.0%
Negative94
Negative (%)24.6%
Memory size3.1 KiB
2022-03-24T10:34:44.473095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.74
5-th percentile-2.066
Q10
median0
Q30
95-th percentile1.8595
Maximum28.33
Range47.07
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.515104997
Coefficient of variation (CV)100.2891554
Kurtosis61.32903999
Mean0.02507853403
Median Absolute Deviation (MAD)0
Skewness2.734966548
Sum9.58
Variance6.325753143
MonotonicityNot monotonic
2022-03-24T10:34:44.521366image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0195
51.0%
-0.56
 
1.6%
0.54
 
1.0%
-0.114
 
1.0%
-0.34
 
1.0%
-1.014
 
1.0%
0.494
 
1.0%
-2.823
 
0.8%
-0.23
 
0.8%
0.532
 
0.5%
Other values (138)153
40.1%
ValueCountFrequency (%)
-18.741
0.3%
-16.031
0.3%
-11.691
0.3%
-5.861
0.3%
-4.541
0.3%
ValueCountFrequency (%)
28.331
0.3%
18.091
0.3%
6.61
0.3%
5.941
0.3%
4.451
0.3%

地方政府债.35
Real number (ℝ)

ZEROS

Distinct45
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0007853403141
Minimum-5.05
Maximum10.69
Zeros327
Zeros (%)85.6%
Negative36
Negative (%)9.4%
Memory size3.1 KiB
2022-03-24T10:34:44.567167image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.05
5-th percentile-0.4435
Q10
median0
Q30
95-th percentile0
Maximum10.69
Range15.74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8222259723
Coefficient of variation (CV)-1046.967738
Kurtosis90.00065875
Mean-0.0007853403141
Median Absolute Deviation (MAD)0
Skewness6.632342826
Sum-0.3
Variance0.6760555496
MonotonicityNot monotonic
2022-03-24T10:34:44.613095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0327
85.6%
-0.35
 
1.3%
-0.13
 
0.8%
0.13
 
0.8%
0.52
 
0.5%
-0.22
 
0.5%
0.22
 
0.5%
-1.021
 
0.3%
-0.151
 
0.3%
0.411
 
0.3%
Other values (35)35
 
9.2%
ValueCountFrequency (%)
-5.051
0.3%
-3.031
0.3%
-2.21
0.3%
-21
0.3%
-1.991
0.3%
ValueCountFrequency (%)
10.691
0.3%
6.31
0.3%
4.261
0.3%
3.21
0.3%
2.661
0.3%

地方政府债.36
Real number (ℝ)

ZEROS

Distinct42
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01371727749
Minimum-3.6
Maximum4.75
Zeros321
Zeros (%)84.0%
Negative37
Negative (%)9.7%
Memory size3.1 KiB
2022-03-24T10:34:44.662616image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.6
5-th percentile-0.36
Q10
median0
Q30
95-th percentile0.195
Maximum4.75
Range8.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4105003715
Coefficient of variation (CV)-29.92579044
Kurtosis73.41245305
Mean-0.01371727749
Median Absolute Deviation (MAD)0
Skewness3.12754281
Sum-5.24
Variance0.168510555
MonotonicityNot monotonic
2022-03-24T10:34:44.706235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0321
84.0%
0.55
 
1.3%
-0.24
 
1.0%
-0.14
 
1.0%
0.23
 
0.8%
0.13
 
0.8%
-0.72
 
0.5%
0.32
 
0.5%
-0.362
 
0.5%
-0.42
 
0.5%
Other values (32)34
 
8.9%
ValueCountFrequency (%)
-3.61
0.3%
-1.821
0.3%
-1.661
0.3%
-1.111
0.3%
-0.961
0.3%
ValueCountFrequency (%)
4.751
0.3%
3.221
0.3%
0.861
0.3%
0.71
0.3%
0.61
0.3%

地方政府债.37
Real number (ℝ)

ZEROS

Distinct56
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05222513089
Minimum-3.6
Maximum5.84
Zeros285
Zeros (%)74.6%
Negative79
Negative (%)20.7%
Memory size3.1 KiB
2022-03-24T10:34:44.751980image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.6
5-th percentile-0.49
Q10
median0
Q30
95-th percentile0
Maximum5.84
Range9.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5240063929
Coefficient of variation (CV)-10.03360612
Kurtosis56.36186395
Mean-0.05222513089
Median Absolute Deviation (MAD)0
Skewness3.045303686
Sum-19.95
Variance0.2745826998
MonotonicityNot monotonic
2022-03-24T10:34:44.800848image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0285
74.6%
-0.210
 
2.6%
-0.110
 
2.6%
-0.315
 
1.3%
-0.054
 
1.0%
0.24
 
1.0%
-0.213
 
0.8%
-0.33
 
0.8%
-0.43
 
0.8%
-0.113
 
0.8%
Other values (46)52
 
13.6%
ValueCountFrequency (%)
-3.61
0.3%
-2.941
0.3%
-2.241
0.3%
-1.91
0.3%
-1.611
0.3%
ValueCountFrequency (%)
5.841
0.3%
3.411
0.3%
2.41
0.3%
1.761
0.3%
0.71
0.3%

地方政府债.38
Real number (ℝ)

ZEROS

Distinct26
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0003664921466
Minimum-1.92
Maximum1.15
Zeros343
Zeros (%)89.8%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:34:44.843158image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.92
5-th percentile0
Q10
median0
Q30
95-th percentile0.0475
Maximum1.15
Range3.07
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1762153053
Coefficient of variation (CV)-480.8160474
Kurtosis52.00752089
Mean-0.0003664921466
Median Absolute Deviation (MAD)0
Skewness-2.175873546
Sum-0.14
Variance0.03105183383
MonotonicityNot monotonic
2022-03-24T10:34:44.881584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0343
89.8%
0.15
 
1.3%
-0.24
 
1.0%
-0.14
 
1.0%
0.23
 
0.8%
0.32
 
0.5%
-0.512
 
0.5%
0.051
 
0.3%
-0.351
 
0.3%
-11
 
0.3%
Other values (16)16
 
4.2%
ValueCountFrequency (%)
-1.921
0.3%
-11
0.3%
-0.811
0.3%
-0.512
0.5%
-0.421
0.3%
ValueCountFrequency (%)
1.151
0.3%
1.11
0.3%
11
0.3%
0.71
0.3%
0.61
0.3%

地方政府债.39
Real number (ℝ)

ZEROS

Distinct307
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.999109948
Minimum-72.72
Maximum29.94
Zeros24
Zeros (%)6.3%
Negative141
Negative (%)36.9%
Memory size3.1 KiB
2022-03-24T10:34:44.928981image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-72.72
5-th percentile-5.05
Q1-0.7075
median0.505
Q33.8875
95-th percentile15.3835
Maximum29.94
Range102.66
Interquartile range (IQR)4.595

Descriptive statistics

Standard deviation7.833928011
Coefficient of variation (CV)3.918707933
Kurtosis24.62311178
Mean1.999109948
Median Absolute Deviation (MAD)1.94
Skewness-1.923832327
Sum763.66
Variance61.37042808
MonotonicityNot monotonic
2022-03-24T10:34:44.975587image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
 
6.3%
-0.13
 
0.8%
-0.313
 
0.8%
0.613
 
0.8%
-0.423
 
0.8%
-0.43
 
0.8%
2.083
 
0.8%
1.743
 
0.8%
-0.373
 
0.8%
0.583
 
0.8%
Other values (297)331
86.6%
ValueCountFrequency (%)
-72.721
0.3%
-39.591
0.3%
-24.751
0.3%
-20.431
0.3%
-14.231
0.3%
ValueCountFrequency (%)
29.941
0.3%
28.881
0.3%
25.731
0.3%
25.721
0.3%
25.421
0.3%

地方政府债.40
Real number (ℝ)

ZEROS

Distinct42
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08769633508
Minimum-7.57
Maximum5.97
Zeros330
Zeros (%)86.4%
Negative14
Negative (%)3.7%
Memory size3.1 KiB
2022-03-24T10:34:45.020055image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.57
5-th percentile0
Q10
median0
Q30
95-th percentile1.0295
Maximum5.97
Range13.54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7999484445
Coefficient of variation (CV)9.121800173
Kurtosis40.25952538
Mean0.08769633508
Median Absolute Deviation (MAD)0
Skewness-0.4491487309
Sum33.5
Variance0.6399175138
MonotonicityNot monotonic
2022-03-24T10:34:45.069456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0330
86.4%
0.515
 
1.3%
0.13
 
0.8%
1.023
 
0.8%
-1.022
 
0.5%
0.312
 
0.5%
1.552
 
0.5%
-1.031
 
0.3%
3.871
 
0.3%
3.991
 
0.3%
Other values (32)32
 
8.4%
ValueCountFrequency (%)
-7.571
0.3%
-5.151
0.3%
-2.321
0.3%
-1.511
0.3%
-1.031
0.3%
ValueCountFrequency (%)
5.971
0.3%
5.051
0.3%
3.991
0.3%
3.871
0.3%
2.521
0.3%

地方政府债.41
Real number (ℝ)

ZEROS

Distinct85
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1978272251
Minimum-3.92
Maximum9.95
Zeros260
Zeros (%)68.1%
Negative37
Negative (%)9.7%
Memory size3.1 KiB
2022-03-24T10:34:45.118801image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.92
5-th percentile-0.916
Q10
median0
Q30
95-th percentile1.9645
Maximum9.95
Range13.87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.04756222
Coefficient of variation (CV)5.295338999
Kurtosis24.52510077
Mean0.1978272251
Median Absolute Deviation (MAD)0
Skewness2.983668859
Sum75.57
Variance1.097386605
MonotonicityNot monotonic
2022-03-24T10:34:45.165005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0260
68.1%
0.517
 
1.8%
1.035
 
1.3%
0.525
 
1.3%
1.014
 
1.0%
0.13
 
0.8%
0.213
 
0.8%
-0.23
 
0.8%
-0.33
 
0.8%
1.042
 
0.5%
Other values (75)87
 
22.8%
ValueCountFrequency (%)
-3.921
0.3%
-3.891
0.3%
-3.071
0.3%
-2.571
0.3%
-2.121
0.3%
ValueCountFrequency (%)
9.951
0.3%
5.291
0.3%
4.61
0.3%
4.31
0.3%
4.151
0.3%

地方政府债.42
Real number (ℝ)

ZEROS

Distinct111
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3929842932
Minimum-5.31
Maximum17.93
Zeros234
Zeros (%)61.3%
Negative55
Negative (%)14.4%
Memory size3.1 KiB
2022-03-24T10:34:45.213522image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.31
5-th percentile-1.0985
Q10
median0
Q30
95-th percentile3.6425
Maximum17.93
Range23.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.928006734
Coefficient of variation (CV)4.906065631
Kurtosis33.81664392
Mean0.3929842932
Median Absolute Deviation (MAD)0
Skewness4.662419347
Sum150.12
Variance3.717209968
MonotonicityNot monotonic
2022-03-24T10:34:45.260809image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0234
61.3%
0.17
 
1.8%
-0.415
 
1.3%
0.214
 
1.0%
0.24
 
1.0%
-0.314
 
1.0%
0.33
 
0.8%
-1.043
 
0.8%
-0.212
 
0.5%
-1.072
 
0.5%
Other values (101)114
29.8%
ValueCountFrequency (%)
-5.311
0.3%
-3.71
0.3%
-3.241
0.3%
-2.971
0.3%
-2.941
0.3%
ValueCountFrequency (%)
17.931
0.3%
16.111
0.3%
12.11
0.3%
9.391
0.3%
7.631
0.3%

地方政府债.43
Real number (ℝ)

ZEROS

Distinct39
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01096858639
Minimum-2.52
Maximum3.55
Zeros327
Zeros (%)85.6%
Negative30
Negative (%)7.9%
Memory size3.1 KiB
2022-03-24T10:34:45.304685image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.52
5-th percentile-0.495
Q10
median0
Q30
95-th percentile0.495
Maximum3.55
Range6.07
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4319598918
Coefficient of variation (CV)39.38154622
Kurtosis26.08798549
Mean0.01096858639
Median Absolute Deviation (MAD)0
Skewness2.565151829
Sum4.19
Variance0.1865893481
MonotonicityNot monotonic
2022-03-24T10:34:45.345805image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0327
85.6%
-0.34
 
1.0%
0.33
 
0.8%
-1.013
 
0.8%
-0.813
 
0.8%
0.53
 
0.8%
-0.42
 
0.5%
-0.72
 
0.5%
-0.52
 
0.5%
-0.212
 
0.5%
Other values (29)31
 
8.1%
ValueCountFrequency (%)
-2.521
0.3%
-1.521
0.3%
-1.311
0.3%
-1.131
0.3%
-1.111
0.3%
ValueCountFrequency (%)
3.551
0.3%
2.851
0.3%
2.791
0.3%
21
0.3%
1.621
0.3%

地方政府债.44
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004685863874
Minimum-1.94
Maximum4.47
Zeros373
Zeros (%)97.6%
Negative4
Negative (%)1.0%
Memory size3.1 KiB
2022-03-24T10:34:45.384010image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.94
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.47
Range6.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2570318786
Coefficient of variation (CV)54.8526132
Kurtosis248.8823172
Mean0.004685863874
Median Absolute Deviation (MAD)0
Skewness12.63086791
Sum1.79
Variance0.06606538662
MonotonicityNot monotonic
2022-03-24T10:34:45.416752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0373
97.6%
0.12
 
0.5%
0.21
 
0.3%
-0.621
 
0.3%
-1.941
 
0.3%
0.61
 
0.3%
4.471
 
0.3%
-0.61
 
0.3%
-0.521
 
0.3%
ValueCountFrequency (%)
-1.941
 
0.3%
-0.621
 
0.3%
-0.61
 
0.3%
-0.521
 
0.3%
0373
97.6%
ValueCountFrequency (%)
4.471
 
0.3%
0.61
 
0.3%
0.21
 
0.3%
0.12
 
0.5%
0373
97.6%

地方政府债.45
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01178010471
Minimum-2.5
Maximum0.1
Zeros376
Zeros (%)98.4%
Negative5
Negative (%)1.3%
Memory size3.1 KiB
2022-03-24T10:34:45.450163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.5
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range2.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.144332926
Coefficient of variation (CV)-12.25226171
Kurtosis244.9233128
Mean-0.01178010471
Median Absolute Deviation (MAD)0
Skewness-15.06696567
Sum-4.5
Variance0.02083199351
MonotonicityNot monotonic
2022-03-24T10:34:45.484083image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0376
98.4%
-2.51
 
0.3%
-0.41
 
0.3%
0.11
 
0.3%
-0.31
 
0.3%
-1.21
 
0.3%
-0.21
 
0.3%
ValueCountFrequency (%)
-2.51
0.3%
-1.21
0.3%
-0.41
0.3%
-0.31
0.3%
-0.21
0.3%
ValueCountFrequency (%)
0.11
 
0.3%
0376
98.4%
-0.21
 
0.3%
-0.31
 
0.3%
-0.41
 
0.3%

地方政府债.46
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00722513089
Minimum-11.1
Maximum11.07
Zeros375
Zeros (%)98.2%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:45.517567image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11.07
Range22.17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8069176937
Coefficient of variation (CV)-111.6820866
Kurtosis186.9104491
Mean-0.00722513089
Median Absolute Deviation (MAD)0
Skewness-0.039861428
Sum-2.76
Variance0.6511161644
MonotonicityNot monotonic
2022-03-24T10:34:45.547951image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0375
98.2%
-0.12
 
0.5%
11.071
 
0.3%
-11.11
 
0.3%
-0.911
 
0.3%
-0.511
 
0.3%
-1.111
 
0.3%
ValueCountFrequency (%)
-11.11
0.3%
-1.111
0.3%
-0.911
0.3%
-0.511
0.3%
-0.12
0.5%
ValueCountFrequency (%)
11.071
 
0.3%
0375
98.2%
-0.12
 
0.5%
-0.511
 
0.3%
-0.911
 
0.3%

地方政府债.47
Real number (ℝ)

ZEROS

Distinct17
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04329842932
Minimum-4.31
Maximum0.11
Zeros363
Zeros (%)95.0%
Negative18
Negative (%)4.7%
Memory size3.1 KiB
2022-03-24T10:34:45.583196image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.31
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.11
Range4.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3045845843
Coefficient of variation (CV)-7.034541184
Kurtosis121.1916667
Mean-0.04329842932
Median Absolute Deviation (MAD)0
Skewness-10.20036758
Sum-16.54
Variance0.09277176897
MonotonicityNot monotonic
2022-03-24T10:34:45.617533image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0363
95.0%
-0.23
 
0.8%
-0.312
 
0.5%
-0.41
 
0.3%
-0.191
 
0.3%
-2.711
 
0.3%
-0.61
 
0.3%
-0.51
 
0.3%
-0.71
 
0.3%
-1.841
 
0.3%
Other values (7)7
 
1.8%
ValueCountFrequency (%)
-4.311
0.3%
-2.711
0.3%
-1.841
0.3%
-1.51
0.3%
-1.331
0.3%
ValueCountFrequency (%)
0.111
 
0.3%
0363
95.0%
-0.111
 
0.3%
-0.191
 
0.3%
-0.23
 
0.8%

地方政府债.48
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04811518325
Minimum-3.51
Maximum1.1
Zeros348
Zeros (%)91.1%
Negative25
Negative (%)6.5%
Memory size3.1 KiB
2022-03-24T10:34:45.653451image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.51
5-th percentile-0.195
Q10
median0
Q30
95-th percentile0
Maximum1.1
Range4.61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3390477747
Coefficient of variation (CV)-7.046585959
Kurtosis59.98206191
Mean-0.04811518325
Median Absolute Deviation (MAD)0
Skewness-6.870562601
Sum-18.38
Variance0.1149533935
MonotonicityNot monotonic
2022-03-24T10:34:45.690642image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0348
91.1%
-0.15
 
1.3%
0.13
 
0.8%
-0.33
 
0.8%
-0.23
 
0.8%
0.22
 
0.5%
-1.012
 
0.5%
-0.62
 
0.5%
-0.911
 
0.3%
-3.211
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-3.511
0.3%
-3.211
0.3%
-2.721
0.3%
-1.551
0.3%
-1.511
0.3%
ValueCountFrequency (%)
1.11
0.3%
0.91
0.3%
0.61
0.3%
0.431
0.3%
0.22
0.5%

地方政府债.49
Real number (ℝ)

ZEROS

Distinct196
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5836387435
Minimum-10.9
Maximum17.69
Zeros115
Zeros (%)30.1%
Negative102
Negative (%)26.7%
Memory size3.1 KiB
2022-03-24T10:34:45.732898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.9
5-th percentile-2.913
Q1-0.1175
median0
Q31.0375
95-th percentile4.867
Maximum17.69
Range28.59
Interquartile range (IQR)1.155

Descriptive statistics

Standard deviation2.67494982
Coefficient of variation (CV)4.583228667
Kurtosis11.4561903
Mean0.5836387435
Median Absolute Deviation (MAD)0.555
Skewness2.021408939
Sum222.95
Variance7.155356541
MonotonicityNot monotonic
2022-03-24T10:34:45.777934image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0115
30.1%
0.518
 
2.1%
0.17
 
1.8%
0.35
 
1.3%
0.24
 
1.0%
-0.34
 
1.0%
0.214
 
1.0%
-0.624
 
1.0%
-0.714
 
1.0%
-0.524
 
1.0%
Other values (186)223
58.4%
ValueCountFrequency (%)
-10.91
0.3%
-7.211
0.3%
-6.341
0.3%
-5.621
0.3%
-4.731
0.3%
ValueCountFrequency (%)
17.691
0.3%
16.111
0.3%
15.981
0.3%
10.281
0.3%
10.011
0.3%

地方政府债.50
Real number (ℝ)

ZEROS

Distinct155
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1301308901
Minimum-35.2
Maximum44.47
Zeros182
Zeros (%)47.6%
Negative89
Negative (%)23.3%
Memory size3.1 KiB
2022-03-24T10:34:45.826898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-35.2
5-th percentile-7.563
Q10
median0
Q30.51
95-th percentile5.818
Maximum44.47
Range79.67
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation5.485429159
Coefficient of variation (CV)-42.15316714
Kurtosis19.95483214
Mean-0.1301308901
Median Absolute Deviation (MAD)0.405
Skewness0.3100735582
Sum-49.71
Variance30.08993305
MonotonicityNot monotonic
2022-03-24T10:34:45.872249image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0182
47.6%
0.518
 
2.1%
-0.515
 
1.3%
1.034
 
1.0%
-1.014
 
1.0%
2.053
 
0.8%
-2.033
 
0.8%
1.023
 
0.8%
0.13
 
0.8%
5.133
 
0.8%
Other values (145)164
42.9%
ValueCountFrequency (%)
-35.21
0.3%
-28.341
0.3%
-20.021
0.3%
-19.111
0.3%
-17.481
0.3%
ValueCountFrequency (%)
44.471
0.3%
26.871
0.3%
21.091
0.3%
13.71
0.3%
12.391
0.3%

地方政府债.51
Real number (ℝ)

ZEROS

Distinct169
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7053141361
Minimum-31.49
Maximum33.41
Zeros157
Zeros (%)41.1%
Negative161
Negative (%)42.1%
Memory size3.1 KiB
2022-03-24T10:34:45.920068image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-31.49
5-th percentile-5.65
Q1-1.1275
median0
Q30
95-th percentile2.6075
Maximum33.41
Range64.9
Interquartile range (IQR)1.1275

Descriptive statistics

Standard deviation3.755405173
Coefficient of variation (CV)-5.324443366
Kurtosis33.89935109
Mean-0.7053141361
Median Absolute Deviation (MAD)0.41
Skewness-0.4133601736
Sum-269.43
Variance14.10306801
MonotonicityNot monotonic
2022-03-24T10:34:45.965604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0157
41.1%
-0.5111
 
2.9%
-0.26
 
1.6%
-0.36
 
1.6%
-14
 
1.0%
-1.024
 
1.0%
-0.54
 
1.0%
-1.534
 
1.0%
-0.14
 
1.0%
-0.213
 
0.8%
Other values (159)179
46.9%
ValueCountFrequency (%)
-31.491
0.3%
-23.681
0.3%
-14.31
0.3%
-13.811
0.3%
-13.521
0.3%
ValueCountFrequency (%)
33.411
0.3%
13.71
0.3%
9.91
0.3%
7.411
0.3%
7.241
0.3%

地方政府债.52
Real number (ℝ)

ZEROS

Distinct218
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.201230366
Minimum-23.8
Maximum28.9
Zeros121
Zeros (%)31.7%
Negative230
Negative (%)60.2%
Memory size3.1 KiB
2022-03-24T10:34:46.014639image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.8
5-th percentile-11.5965
Q1-3.0475
median-0.705
Q30
95-th percentile1.076
Maximum28.9
Range52.7
Interquartile range (IQR)3.0475

Descriptive statistics

Standard deviation4.457786818
Coefficient of variation (CV)-2.025134164
Kurtosis9.526749931
Mean-2.201230366
Median Absolute Deviation (MAD)0.705
Skewness-0.6660902302
Sum-840.87
Variance19.87186331
MonotonicityNot monotonic
2022-03-24T10:34:46.063971image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0121
31.7%
-0.57
 
1.8%
-0.35
 
1.3%
-1.024
 
1.0%
-0.63
 
0.8%
-0.713
 
0.8%
-0.213
 
0.8%
-1.93
 
0.8%
-0.23
 
0.8%
-0.313
 
0.8%
Other values (208)227
59.4%
ValueCountFrequency (%)
-23.81
0.3%
-21.481
0.3%
-19.941
0.3%
-17.431
0.3%
-16.651
0.3%
ValueCountFrequency (%)
28.91
0.3%
8.81
0.3%
8.341
0.3%
7.711
0.3%
6.161
0.3%

地方政府债.53
Real number (ℝ)

ZEROS

Distinct157
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9926701571
Minimum-22.97
Maximum35.67
Zeros169
Zeros (%)44.2%
Negative174
Negative (%)45.5%
Memory size3.1 KiB
2022-03-24T10:34:46.111624image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-22.97
5-th percentile-8.67
Q1-1.375
median0
Q30
95-th percentile2.457
Maximum35.67
Range58.64
Interquartile range (IQR)1.375

Descriptive statistics

Standard deviation4.465404925
Coefficient of variation (CV)-4.498377324
Kurtosis17.59972073
Mean-0.9926701571
Median Absolute Deviation (MAD)0.3
Skewness0.74334129
Sum-379.2
Variance19.93984115
MonotonicityNot monotonic
2022-03-24T10:34:46.155627image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169
44.2%
-0.512
 
3.1%
-0.38
 
2.1%
-0.25
 
1.3%
-0.15
 
1.3%
-0.45
 
1.3%
-0.64
 
1.0%
-0.594
 
1.0%
-2.33
 
0.8%
-1.013
 
0.8%
Other values (147)164
42.9%
ValueCountFrequency (%)
-22.971
0.3%
-21.651
0.3%
-19.81
0.3%
-17.931
0.3%
-14.161
0.3%
ValueCountFrequency (%)
35.671
0.3%
19.171
0.3%
17.621
0.3%
13.771
0.3%
12.631
0.3%

地方政府债.54
Real number (ℝ)

ZEROS

Distinct151
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.249921466
Minimum-18.79
Maximum38.21
Zeros187
Zeros (%)49.0%
Negative122
Negative (%)31.9%
Memory size3.1 KiB
2022-03-24T10:34:46.202938image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.79
5-th percentile-4.785
Q1-0.3975
median0
Q30
95-th percentile7.2485
Maximum38.21
Range57
Interquartile range (IQR)0.3975

Descriptive statistics

Standard deviation4.541392683
Coefficient of variation (CV)18.17127899
Kurtosis22.06583018
Mean0.249921466
Median Absolute Deviation (MAD)0.115
Skewness2.98041669
Sum95.47
Variance20.6242475
MonotonicityNot monotonic
2022-03-24T10:34:46.249861image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0187
49.0%
-17
 
1.8%
-0.27
 
1.8%
-0.55
 
1.3%
-0.395
 
1.3%
-0.484
 
1.0%
-0.383
 
0.8%
-0.13
 
0.8%
-0.33
 
0.8%
1.053
 
0.8%
Other values (141)155
40.6%
ValueCountFrequency (%)
-18.791
0.3%
-14.951
0.3%
-14.661
0.3%
-11.491
0.3%
-9.681
0.3%
ValueCountFrequency (%)
38.211
0.3%
30.691
0.3%
20.951
0.3%
19.811
0.3%
18.821
0.3%

地方政府债.55
Real number (ℝ)

ZEROS

Distinct61
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8128272251
Minimum-4.55
Maximum149.96
Zeros305
Zeros (%)79.8%
Negative35
Negative (%)9.2%
Memory size3.1 KiB
2022-03-24T10:34:46.299323image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.55
5-th percentile-0.48
Q10
median0
Q30
95-th percentile2.038
Maximum149.96
Range154.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.455215779
Coefficient of variation (CV)10.40223004
Kurtosis259.8307103
Mean0.8128272251
Median Absolute Deviation (MAD)0
Skewness15.34280698
Sum310.5
Variance71.49067388
MonotonicityNot monotonic
2022-03-24T10:34:46.348089image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0305
79.8%
-0.18
 
2.1%
-0.484
 
1.0%
-0.63
 
0.8%
22
 
0.5%
0.412
 
0.5%
-0.52
 
0.5%
0.612
 
0.5%
0.62
 
0.5%
-0.471
 
0.3%
Other values (51)51
 
13.4%
ValueCountFrequency (%)
-4.551
0.3%
-4.51
0.3%
-41
0.3%
-3.281
0.3%
-2.31
0.3%
ValueCountFrequency (%)
149.961
0.3%
48.361
0.3%
45.161
0.3%
12.971
0.3%
9.761
0.3%

地方政府债.56
Real number (ℝ)

ZEROS

Distinct64
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004842931937
Minimum-6.33
Maximum10.69
Zeros298
Zeros (%)78.0%
Negative48
Negative (%)12.6%
Memory size3.1 KiB
2022-03-24T10:34:46.398395image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.33
5-th percentile-1.01
Q10
median0
Q30
95-th percentile1.018
Maximum10.69
Range17.02
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.314771659
Coefficient of variation (CV)271.4825804
Kurtosis23.63272716
Mean0.004842931937
Median Absolute Deviation (MAD)0
Skewness1.834999722
Sum1.85
Variance1.728624516
MonotonicityNot monotonic
2022-03-24T10:34:46.444415image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0298
78.0%
-0.15
 
1.3%
-0.44
 
1.0%
-0.63
 
0.8%
-0.33
 
0.8%
0.33
 
0.8%
-3.12
 
0.5%
1.022
 
0.5%
-0.52
 
0.5%
0.912
 
0.5%
Other values (54)58
 
15.2%
ValueCountFrequency (%)
-6.331
0.3%
-6.271
0.3%
-5.761
0.3%
-5.081
0.3%
-4.621
0.3%
ValueCountFrequency (%)
10.691
0.3%
8.151
0.3%
7.051
0.3%
6.811
0.3%
4.711
0.3%

地方政府债.57
Real number (ℝ)

ZEROS

Distinct65
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3814659686
Minimum-14.32
Maximum16.49
Zeros288
Zeros (%)75.4%
Negative82
Negative (%)21.5%
Memory size3.1 KiB
2022-03-24T10:34:46.492714image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-14.32
5-th percentile-3.1835
Q10
median0
Q30
95-th percentile0
Maximum16.49
Range30.81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.238479857
Coefficient of variation (CV)-5.868098445
Kurtosis24.6435938
Mean-0.3814659686
Median Absolute Deviation (MAD)0
Skewness-0.714521305
Sum-145.72
Variance5.010792071
MonotonicityNot monotonic
2022-03-24T10:34:46.537982image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0288
75.4%
-0.311
 
2.9%
-0.26
 
1.6%
-0.14
 
1.0%
-0.74
 
1.0%
-0.54
 
1.0%
-0.512
 
0.5%
-1.022
 
0.5%
-0.312
 
0.5%
-0.62
 
0.5%
Other values (55)57
 
14.9%
ValueCountFrequency (%)
-14.321
0.3%
-14.021
0.3%
-12.041
0.3%
-10.571
0.3%
-8.71
0.3%
ValueCountFrequency (%)
16.491
0.3%
13.521
0.3%
8.511
0.3%
8.261
0.3%
0.71
0.3%

地方政府债.58
Real number (ℝ)

ZEROS

Distinct45
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.244921466
Minimum-7.79
Maximum1.82
Zeros307
Zeros (%)80.4%
Negative68
Negative (%)17.8%
Memory size3.1 KiB
2022-03-24T10:34:46.882760image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.79
5-th percentile-1.495
Q10
median0
Q30
95-th percentile0
Maximum1.82
Range9.61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.946893176
Coefficient of variation (CV)-3.866109376
Kurtosis31.62627446
Mean-0.244921466
Median Absolute Deviation (MAD)0
Skewness-5.095480838
Sum-93.56
Variance0.8966066867
MonotonicityNot monotonic
2022-03-24T10:34:46.928823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0307
80.4%
-0.29
 
2.4%
-0.17
 
1.8%
-0.94
 
1.0%
-0.53
 
0.8%
-1.53
 
0.8%
-0.63
 
0.8%
-1.23
 
0.8%
-1.42
 
0.5%
-0.612
 
0.5%
Other values (35)39
 
10.2%
ValueCountFrequency (%)
-7.791
0.3%
-7.751
0.3%
-7.21
0.3%
-4.891
0.3%
-4.211
0.3%
ValueCountFrequency (%)
1.821
0.3%
1.111
0.3%
12
0.5%
0.91
0.3%
0.11
0.3%

地方政府债.59
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.587905759
Minimum-49.4
Maximum156.97
Zeros17
Zeros (%)4.5%
Negative252
Negative (%)66.0%
Memory size3.1 KiB
2022-03-24T10:34:46.976818image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.4
5-th percentile-27.3255
Q1-10.4875
median-3.84
Q32.1475
95-th percentile17.753
Maximum156.97
Range206.37
Interquartile range (IQR)12.635

Descriptive statistics

Standard deviation15.66966427
Coefficient of variation (CV)-4.367356703
Kurtosis29.21028673
Mean-3.587905759
Median Absolute Deviation (MAD)6.4
Skewness3.032390011
Sum-1370.58
Variance245.5383783
MonotonicityNot monotonic
2022-03-24T10:34:47.022884image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
4.5%
-0.53
 
0.8%
-0.513
 
0.8%
-9.312
 
0.5%
-4.552
 
0.5%
8.282
 
0.5%
-0.992
 
0.5%
-10.252
 
0.5%
-6.312
 
0.5%
-0.42
 
0.5%
Other values (338)345
90.3%
ValueCountFrequency (%)
-49.41
0.3%
-38.781
0.3%
-38.111
0.3%
-37.311
0.3%
-36.731
0.3%
ValueCountFrequency (%)
156.971
0.3%
54.361
0.3%
50.381
0.3%
40.371
0.3%
39.511
0.3%

地方政府债.60
Real number (ℝ)

ZEROS

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1271465969
Minimum-44.47
Maximum1.92
Zeros368
Zeros (%)96.3%
Negative8
Negative (%)2.1%
Memory size3.1 KiB
2022-03-24T10:34:47.062535image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-44.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.92
Range46.39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.286566263
Coefficient of variation (CV)-17.98370007
Kurtosis374.1060763
Mean-0.1271465969
Median Absolute Deviation (MAD)0
Skewness-19.2503766
Sum-48.57
Variance5.228385275
MonotonicityNot monotonic
2022-03-24T10:34:47.096185image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0368
96.3%
0.12
 
0.5%
-0.22
 
0.5%
-1.021
 
0.3%
0.51
 
0.3%
1.921
 
0.3%
-0.51
 
0.3%
-3.491
 
0.3%
-44.471
 
0.3%
0.211
 
0.3%
Other values (3)3
 
0.8%
ValueCountFrequency (%)
-44.471
0.3%
-3.491
0.3%
-1.721
0.3%
-1.021
0.3%
-0.51
0.3%
ValueCountFrequency (%)
1.921
0.3%
0.51
0.3%
0.31
0.3%
0.211
0.3%
0.12
0.5%

地方政府债.61
Real number (ℝ)

ZEROS

Distinct32
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0312565445
Minimum-5.13
Maximum5.14
Zeros340
Zeros (%)89.0%
Negative23
Negative (%)6.0%
Memory size3.1 KiB
2022-03-24T10:34:47.135510image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.13
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0
Maximum5.14
Range10.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.588760424
Coefficient of variation (CV)18.83638878
Kurtosis38.68447345
Mean0.0312565445
Median Absolute Deviation (MAD)0
Skewness0.7986537772
Sum11.94
Variance0.3466388369
MonotonicityNot monotonic
2022-03-24T10:34:47.175122image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0340
89.0%
-0.16
 
1.6%
-0.23
 
0.8%
2.052
 
0.5%
-0.522
 
0.5%
-1.072
 
0.5%
0.22
 
0.5%
2.031
 
0.3%
1.351
 
0.3%
1.461
 
0.3%
Other values (22)22
 
5.8%
ValueCountFrequency (%)
-5.131
0.3%
-3.311
0.3%
-2.061
0.3%
-2.041
0.3%
-1.072
0.5%
ValueCountFrequency (%)
5.141
0.3%
3.121
0.3%
3.061
0.3%
2.561
0.3%
2.51
0.3%

地方政府债.62
Real number (ℝ)

ZEROS

Distinct38
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001151832461
Minimum-4.41
Maximum10.08
Zeros329
Zeros (%)86.1%
Negative32
Negative (%)8.4%
Memory size3.1 KiB
2022-03-24T10:34:47.216966image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.41
5-th percentile-0.405
Q10
median0
Q30
95-th percentile0.099
Maximum10.08
Range14.49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8632634978
Coefficient of variation (CV)749.4696731
Kurtosis65.86469995
Mean0.001151832461
Median Absolute Deviation (MAD)0
Skewness5.337793416
Sum0.44
Variance0.7452238667
MonotonicityNot monotonic
2022-03-24T10:34:47.259569image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0329
86.1%
-0.15
 
1.3%
0.55
 
1.3%
0.23
 
0.8%
-0.413
 
0.8%
0.12
 
0.5%
0.32
 
0.5%
-0.32
 
0.5%
-0.312
 
0.5%
-0.821
 
0.3%
Other values (28)28
 
7.3%
ValueCountFrequency (%)
-4.411
0.3%
-3.531
0.3%
-3.281
0.3%
-3.191
0.3%
-3.181
0.3%
ValueCountFrequency (%)
10.081
0.3%
6.21
0.3%
5.581
0.3%
5.041
0.3%
1.11
0.3%

地方政府债.63
Real number (ℝ)

ZEROS

Distinct21
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02010471204
Minimum-1.93
Maximum5.54
Zeros354
Zeros (%)92.7%
Negative14
Negative (%)3.7%
Memory size3.1 KiB
2022-03-24T10:34:47.302324image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.93
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.54
Range7.47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.380258911
Coefficient of variation (CV)18.91391979
Kurtosis131.6043008
Mean0.02010471204
Median Absolute Deviation (MAD)0
Skewness9.283154892
Sum7.68
Variance0.1445968394
MonotonicityNot monotonic
2022-03-24T10:34:47.338837image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0354
92.7%
-0.25
 
1.3%
0.23
 
0.8%
0.42
 
0.5%
-0.42
 
0.5%
1.11
 
0.3%
1.21
 
0.3%
5.541
 
0.3%
3.21
 
0.3%
11
 
0.3%
Other values (11)11
 
2.9%
ValueCountFrequency (%)
-1.931
0.3%
-1.331
0.3%
-0.991
0.3%
-0.811
0.3%
-0.711
0.3%
ValueCountFrequency (%)
5.541
0.3%
3.21
0.3%
1.21
0.3%
1.11
0.3%
11
0.3%

地方政府债.64
Real number (ℝ)

ZEROS

Distinct29
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003691099476
Minimum-11.82
Maximum13.89
Zeros353
Zeros (%)92.4%
Negative16
Negative (%)4.2%
Memory size3.1 KiB
2022-03-24T10:34:47.380137image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.82
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.89
Range25.71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.649273837
Coefficient of variation (CV)-446.8245429
Kurtosis41.96768918
Mean-0.003691099476
Median Absolute Deviation (MAD)0
Skewness0.8598190619
Sum-1.41
Variance2.720104188
MonotonicityNot monotonic
2022-03-24T10:34:47.420779image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0353
92.4%
-0.22
 
0.5%
-1.411
 
0.3%
1.131
 
0.3%
-5.011
 
0.3%
-9.011
 
0.3%
-10.011
 
0.3%
-11.821
 
0.3%
-1.811
 
0.3%
13.891
 
0.3%
Other values (19)19
 
5.0%
ValueCountFrequency (%)
-11.821
0.3%
-10.011
0.3%
-9.011
0.3%
-8.331
0.3%
-7.821
0.3%
ValueCountFrequency (%)
13.891
0.3%
13.751
0.3%
8.331
0.3%
4.981
0.3%
3.611
0.3%

地方政府债.65
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001047120419
Minimum-0.5
Maximum0.2
Zeros375
Zeros (%)98.2%
Negative4
Negative (%)1.0%
Memory size3.1 KiB
2022-03-24T10:34:47.456646image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.2
Range0.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03238470978
Coefficient of variation (CV)-30.92739784
Kurtosis159.6550969
Mean-0.001047120419
Median Absolute Deviation (MAD)0
Skewness-9.069233206
Sum-0.4
Variance0.001048769427
MonotonicityNot monotonic
2022-03-24T10:34:47.487961image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0375
98.2%
0.22
 
0.5%
-0.12
 
0.5%
0.11
 
0.3%
-0.51
 
0.3%
-0.21
 
0.3%
ValueCountFrequency (%)
-0.51
 
0.3%
-0.21
 
0.3%
-0.12
 
0.5%
0375
98.2%
0.11
 
0.3%
ValueCountFrequency (%)
0.22
 
0.5%
0.11
 
0.3%
0375
98.2%
-0.12
 
0.5%
-0.21
 
0.3%

地方政府债.66
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004345549738
Minimum-0.5
Maximum0.1
Zeros372
Zeros (%)97.4%
Negative8
Negative (%)2.1%
Memory size3.1 KiB
2022-03-24T10:34:47.522107image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range0.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0379385602
Coefficient of variation (CV)-8.730439757
Kurtosis93.2025223
Mean-0.004345549738
Median Absolute Deviation (MAD)0
Skewness-8.693224847
Sum-1.66
Variance0.00143933435
MonotonicityNot monotonic
2022-03-24T10:34:47.552893image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0372
97.4%
-0.24
 
1.0%
0.12
 
0.5%
-0.31
 
0.3%
-0.161
 
0.3%
-0.51
 
0.3%
-0.11
 
0.3%
ValueCountFrequency (%)
-0.51
 
0.3%
-0.31
 
0.3%
-0.24
1.0%
-0.161
 
0.3%
-0.11
 
0.3%
ValueCountFrequency (%)
0.12
 
0.5%
0372
97.4%
-0.11
 
0.3%
-0.161
 
0.3%
-0.24
 
1.0%

地方政府债.67
Real number (ℝ)

ZEROS

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00609947644
Minimum-1.6
Maximum1.63
Zeros365
Zeros (%)95.5%
Negative14
Negative (%)3.7%
Memory size3.1 KiB
2022-03-24T10:34:47.588562image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.63
Range3.23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.126009709
Coefficient of variation (CV)-20.65910251
Kurtosis142.56305
Mean-0.00609947644
Median Absolute Deviation (MAD)0
Skewness0.02510189577
Sum-2.33
Variance0.01587844677
MonotonicityNot monotonic
2022-03-24T10:34:47.620626image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0365
95.5%
-0.17
 
1.8%
1.631
 
0.3%
-0.291
 
0.3%
0.11
 
0.3%
-0.131
 
0.3%
-0.281
 
0.3%
0.161
 
0.3%
-0.541
 
0.3%
-0.21
 
0.3%
Other values (2)2
 
0.5%
ValueCountFrequency (%)
-1.61
0.3%
-0.541
0.3%
-0.481
0.3%
-0.291
0.3%
-0.281
0.3%
ValueCountFrequency (%)
1.631
 
0.3%
0.161
 
0.3%
0.11
 
0.3%
0365
95.5%
-0.17
 
1.8%

地方政府债.68
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.007931937173
Minimum-2.03
Maximum0.2
Zeros374
Zeros (%)97.9%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:47.655830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.03
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.2
Range2.23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1145213275
Coefficient of variation (CV)-14.43800235
Kurtosis265.9788182
Mean-0.007931937173
Median Absolute Deviation (MAD)0
Skewness-15.75811191
Sum-3.03
Variance0.01311513446
MonotonicityNot monotonic
2022-03-24T10:34:47.685891image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0374
97.9%
-0.14
 
1.0%
0.11
 
0.3%
-2.031
 
0.3%
0.21
 
0.3%
-0.91
 
0.3%
ValueCountFrequency (%)
-2.031
 
0.3%
-0.91
 
0.3%
-0.14
 
1.0%
0374
97.9%
0.11
 
0.3%
ValueCountFrequency (%)
0.21
 
0.3%
0.11
 
0.3%
0374
97.9%
-0.14
 
1.0%
-0.91
 
0.3%

地方政府债.69
Real number (ℝ)

ZEROS

Distinct92
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09782722513
Minimum-44.99
Maximum13.59
Zeros250
Zeros (%)65.4%
Negative72
Negative (%)18.8%
Memory size3.1 KiB
2022-03-24T10:34:47.727006image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-44.99
5-th percentile-1.885
Q10
median0
Q30
95-th percentile2.298
Maximum13.59
Range58.58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.103470624
Coefficient of variation (CV)-31.72399728
Kurtosis117.992644
Mean-0.09782722513
Median Absolute Deviation (MAD)0
Skewness-7.851814078
Sum-37.37
Variance9.631529912
MonotonicityNot monotonic
2022-03-24T10:34:47.771587image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0250
65.4%
0.29
 
2.4%
-0.18
 
2.1%
-0.45
 
1.3%
-0.25
 
1.3%
-0.313
 
0.8%
-0.33
 
0.8%
0.33
 
0.8%
0.53
 
0.8%
0.93
 
0.8%
Other values (82)90
 
23.6%
ValueCountFrequency (%)
-44.991
0.3%
-12.221
0.3%
-10.321
0.3%
-9.441
0.3%
-9.111
0.3%
ValueCountFrequency (%)
13.591
0.3%
12.871
0.3%
10.081
0.3%
8.331
0.3%
6.511
0.3%

地方政府债.70
Real number (ℝ)

ZEROS

Distinct157
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.134947644
Minimum-17.51
Maximum51.93
Zeros170
Zeros (%)44.5%
Negative138
Negative (%)36.1%
Memory size3.1 KiB
2022-03-24T10:34:47.820273image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.51
5-th percentile-5.139
Q1-0.82
median0
Q30
95-th percentile5.2715
Maximum51.93
Range69.44
Interquartile range (IQR)0.82

Descriptive statistics

Standard deviation4.732400563
Coefficient of variation (CV)35.0684193
Kurtosis50.33545902
Mean0.134947644
Median Absolute Deviation (MAD)0.195
Skewness5.366208212
Sum51.55
Variance22.39561509
MonotonicityNot monotonic
2022-03-24T10:34:47.866648image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0170
44.5%
-0.119
 
5.0%
-1.025
 
1.3%
-1.035
 
1.3%
-0.514
 
1.0%
-1.014
 
1.0%
-0.413
 
0.8%
0.513
 
0.8%
0.413
 
0.8%
1.532
 
0.5%
Other values (147)164
42.9%
ValueCountFrequency (%)
-17.511
0.3%
-10.141
0.3%
-10.041
0.3%
-9.821
0.3%
-8.721
0.3%
ValueCountFrequency (%)
51.931
0.3%
35.931
0.3%
29.961
0.3%
18.231
0.3%
13.771
0.3%

地方政府债.71
Real number (ℝ)

ZEROS

Distinct264
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.121439791
Minimum-28.12
Maximum19.29
Zeros78
Zeros (%)20.4%
Negative253
Negative (%)66.2%
Memory size3.1 KiB
2022-03-24T10:34:47.915395image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.12
5-th percentile-14.734
Q1-4.8525
median-1.345
Q30
95-th percentile1.789
Maximum19.29
Range47.41
Interquartile range (IQR)4.8525

Descriptive statistics

Standard deviation5.384912116
Coefficient of variation (CV)-1.725137269
Kurtosis4.033583645
Mean-3.121439791
Median Absolute Deviation (MAD)1.405
Skewness-1.359335743
Sum-1192.39
Variance28.9972785
MonotonicityNot monotonic
2022-03-24T10:34:47.964003image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
078
 
20.4%
-0.517
 
1.8%
-0.14
 
1.0%
-1.544
 
1.0%
-0.523
 
0.8%
-1.033
 
0.8%
-1.023
 
0.8%
-4.053
 
0.8%
-1.943
 
0.8%
-5.222
 
0.5%
Other values (254)272
71.2%
ValueCountFrequency (%)
-28.121
0.3%
-25.981
0.3%
-21.951
0.3%
-21.441
0.3%
-20.861
0.3%
ValueCountFrequency (%)
19.291
0.3%
13.411
0.3%
10.421
0.3%
6.671
0.3%
5.121
0.3%

地方政府债.72
Real number (ℝ)

ZEROS

Distinct292
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.190314136
Minimum-52.8
Maximum84.5
Zeros38
Zeros (%)9.9%
Negative265
Negative (%)69.4%
Memory size3.1 KiB
2022-03-24T10:34:48.011328image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-52.8
5-th percentile-16.417
Q1-6.09
median-2.12
Q30
95-th percentile4.729
Maximum84.5
Range137.3
Interquartile range (IQR)6.09

Descriptive statistics

Standard deviation8.546278305
Coefficient of variation (CV)-2.678820311
Kurtosis33.33669713
Mean-3.190314136
Median Absolute Deviation (MAD)2.495
Skewness1.891392628
Sum-1218.7
Variance73.03887287
MonotonicityNot monotonic
2022-03-24T10:34:48.055672image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
9.9%
-0.25
 
1.3%
-0.54
 
1.0%
-0.64
 
1.0%
-4.683
 
0.8%
0.323
 
0.8%
-2.573
 
0.8%
4.712
 
0.5%
-1.812
 
0.5%
-3.112
 
0.5%
Other values (282)316
82.7%
ValueCountFrequency (%)
-52.81
0.3%
-36.951
0.3%
-34.831
0.3%
-34.41
0.3%
-28.491
0.3%
ValueCountFrequency (%)
84.51
0.3%
31.791
0.3%
22.71
0.3%
16.281
0.3%
13.341
0.3%

地方政府债.73
Real number (ℝ)

ZEROS

Distinct253
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.70395288
Minimum-39.96
Maximum33.8
Zeros73
Zeros (%)19.1%
Negative242
Negative (%)63.4%
Memory size3.1 KiB
2022-03-24T10:34:48.104738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-39.96
5-th percentile-11.3425
Q1-3.21
median-0.8
Q30
95-th percentile4.736
Maximum33.8
Range73.76
Interquartile range (IQR)3.21

Descriptive statistics

Standard deviation6.395059759
Coefficient of variation (CV)-3.753073125
Kurtosis12.27118075
Mean-1.70395288
Median Absolute Deviation (MAD)1.275
Skewness-0.3473268907
Sum-650.91
Variance40.89678932
MonotonicityNot monotonic
2022-03-24T10:34:48.151201image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073
 
19.1%
-0.36
 
1.6%
-14
 
1.0%
-0.613
 
0.8%
-1.223
 
0.8%
-0.23
 
0.8%
-0.513
 
0.8%
0.23
 
0.8%
-0.913
 
0.8%
-1.023
 
0.8%
Other values (243)278
72.8%
ValueCountFrequency (%)
-39.961
0.3%
-39.091
0.3%
-24.131
0.3%
-22.261
0.3%
-21.321
0.3%
ValueCountFrequency (%)
33.81
0.3%
33.191
0.3%
21.751
0.3%
20.511
0.3%
16.871
0.3%

地方政府债.74
Real number (ℝ)

ZEROS

Distinct273
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.153743455
Minimum-40.66
Maximum25.56
Zeros63
Zeros (%)16.5%
Negative271
Negative (%)70.9%
Memory size3.1 KiB
2022-03-24T10:34:48.201334image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-40.66
5-th percentile-15.0395
Q1-4.97
median-1.755
Q30
95-th percentile5.2895
Maximum25.56
Range66.22
Interquartile range (IQR)4.97

Descriptive statistics

Standard deviation6.951639801
Coefficient of variation (CV)-2.20425025
Kurtosis5.62694527
Mean-3.153743455
Median Absolute Deviation (MAD)1.755
Skewness-0.7110981972
Sum-1204.73
Variance48.32529592
MonotonicityNot monotonic
2022-03-24T10:34:48.247705image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063
 
16.5%
-1.514
 
1.0%
-2.923
 
0.8%
-0.733
 
0.8%
-0.53
 
0.8%
-0.13
 
0.8%
-0.973
 
0.8%
-2.553
 
0.8%
-0.493
 
0.8%
-0.593
 
0.8%
Other values (263)291
76.2%
ValueCountFrequency (%)
-40.661
0.3%
-34.291
0.3%
-28.331
0.3%
-26.471
0.3%
-24.651
0.3%
ValueCountFrequency (%)
25.561
0.3%
23.231
0.3%
20.711
0.3%
19.591
0.3%
17.281
0.3%

地方政府债.75
Real number (ℝ)

ZEROS

Distinct131
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3808115183
Minimum-55.63
Maximum59.52
Zeros203
Zeros (%)53.1%
Negative140
Negative (%)36.6%
Memory size3.1 KiB
2022-03-24T10:34:48.296456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-55.63
5-th percentile-4.779
Q1-0.8
median0
Q30
95-th percentile1.7045
Maximum59.52
Range115.15
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation6.688994967
Coefficient of variation (CV)-17.56510674
Kurtosis43.40103084
Mean-0.3808115183
Median Absolute Deviation (MAD)0
Skewness1.224053004
Sum-145.47
Variance44.74265367
MonotonicityNot monotonic
2022-03-24T10:34:48.344747image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0203
53.1%
-1.016
 
1.6%
-0.36
 
1.6%
0.14
 
1.0%
-0.484
 
1.0%
-0.54
 
1.0%
-0.24
 
1.0%
-0.43
 
0.8%
-0.93
 
0.8%
-0.493
 
0.8%
Other values (121)142
37.2%
ValueCountFrequency (%)
-55.631
0.3%
-34.341
0.3%
-33.571
0.3%
-31.421
0.3%
-19.341
0.3%
ValueCountFrequency (%)
59.521
0.3%
48.081
0.3%
40.991
0.3%
22.991
0.3%
19.341
0.3%

地方政府债.76
Real number (ℝ)

ZEROS

Distinct112
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7340837696
Minimum-30.67
Maximum31.76
Zeros240
Zeros (%)62.8%
Negative121
Negative (%)31.7%
Memory size3.1 KiB
2022-03-24T10:34:48.392340image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.67
5-th percentile-4.582
Q1-0.51
median0
Q30
95-th percentile0.28
Maximum31.76
Range62.43
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation3.08311864
Coefficient of variation (CV)-4.199954784
Kurtosis57.05202655
Mean-0.7340837696
Median Absolute Deviation (MAD)0
Skewness-0.3344088992
Sum-280.42
Variance9.505620549
MonotonicityNot monotonic
2022-03-24T10:34:48.437177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0240
62.8%
-0.16
 
1.6%
-0.24
 
1.0%
-0.44
 
1.0%
-0.63
 
0.8%
-0.33
 
0.8%
-0.513
 
0.8%
-0.293
 
0.8%
0.712
 
0.5%
-0.52
 
0.5%
Other values (102)112
29.3%
ValueCountFrequency (%)
-30.671
0.3%
-13.511
0.3%
-13.321
0.3%
-11.591
0.3%
-11.171
0.3%
ValueCountFrequency (%)
31.761
0.3%
4.391
0.3%
3.91
0.3%
3.11
0.3%
2.961
0.3%

地方政府债.77
Real number (ℝ)

ZEROS

Distinct120
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7652356021
Minimum-18.88
Maximum24.08
Zeros207
Zeros (%)54.2%
Negative147
Negative (%)38.5%
Memory size3.1 KiB
2022-03-24T10:34:48.486204image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.88
5-th percentile-5.9535
Q1-0.61
median0
Q30
95-th percentile0.498
Maximum24.08
Range42.96
Interquartile range (IQR)0.61

Descriptive statistics

Standard deviation2.944121742
Coefficient of variation (CV)-3.847340262
Kurtosis24.45466383
Mean-0.7652356021
Median Absolute Deviation (MAD)0
Skewness-0.8864987813
Sum-292.32
Variance8.667852831
MonotonicityNot monotonic
2022-03-24T10:34:48.531782image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0207
54.2%
-0.19
 
2.4%
-0.46
 
1.6%
-0.56
 
1.6%
0.16
 
1.6%
-0.615
 
1.3%
-0.514
 
1.0%
-0.24
 
1.0%
-0.913
 
0.8%
-0.413
 
0.8%
Other values (110)129
33.8%
ValueCountFrequency (%)
-18.881
0.3%
-17.731
0.3%
-17.121
0.3%
-15.481
0.3%
-11.161
0.3%
ValueCountFrequency (%)
24.081
0.3%
10.061
0.3%
6.261
0.3%
5.591
0.3%
4.681
0.3%

地方政府债.78
Real number (ℝ)

ZEROS

Distinct93
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.171544503
Minimum-30.28
Maximum7.58
Zeros256
Zeros (%)67.0%
Negative115
Negative (%)30.1%
Memory size3.1 KiB
2022-03-24T10:34:48.578967image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.28
5-th percentile-6.958
Q1-0.5
median0
Q30
95-th percentile0
Maximum7.58
Range37.86
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.69158943
Coefficient of variation (CV)-3.151044985
Kurtosis24.13887361
Mean-1.171544503
Median Absolute Deviation (MAD)0
Skewness-4.458874273
Sum-447.53
Variance13.62783252
MonotonicityNot monotonic
2022-03-24T10:34:48.626161image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0256
67.0%
-0.26
 
1.6%
-0.86
 
1.6%
-0.65
 
1.3%
-0.14
 
1.0%
-0.34
 
1.0%
-0.43
 
0.8%
-0.53
 
0.8%
-0.712
 
0.5%
-2.22
 
0.5%
Other values (83)91
 
23.8%
ValueCountFrequency (%)
-30.281
0.3%
-26.931
0.3%
-23.891
0.3%
-19.641
0.3%
-17.121
0.3%
ValueCountFrequency (%)
7.581
0.3%
3.31
0.3%
2.81
0.3%
2.31
0.3%
1.411
0.3%

地方政府债.79
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14.08604712
Minimum-71.25
Maximum61.46
Zeros11
Zeros (%)2.9%
Negative323
Negative (%)84.6%
Memory size3.1 KiB
2022-03-24T10:34:48.676484image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-71.25
5-th percentile-45.6245
Q1-23.605
median-12.13
Q3-3.9275
95-th percentile14.4795
Maximum61.46
Range132.71
Interquartile range (IQR)19.6775

Descriptive statistics

Standard deviation17.88208707
Coefficient of variation (CV)-1.269489369
Kurtosis1.766363815
Mean-14.08604712
Median Absolute Deviation (MAD)9.845
Skewness-0.05345374023
Sum-5380.87
Variance319.7690381
MonotonicityNot monotonic
2022-03-24T10:34:48.725930image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-15.272
 
0.5%
-8.242
 
0.5%
-1.882
 
0.5%
1.52
 
0.5%
-10.982
 
0.5%
-17.642
 
0.5%
-13.862
 
0.5%
-24.52
 
0.5%
-10.192
 
0.5%
Other values (351)353
92.4%
ValueCountFrequency (%)
-71.251
0.3%
-69.511
0.3%
-65.871
0.3%
-59.41
0.3%
-59.281
0.3%
ValueCountFrequency (%)
61.461
0.3%
54.431
0.3%
35.311
0.3%
35.081
0.3%
31.561
0.3%

地方政府债.80
Real number (ℝ)

ZEROS

Distinct215
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4913874346
Minimum-30.37
Maximum14.41
Zeros95
Zeros (%)24.9%
Negative174
Negative (%)45.5%
Memory size3.1 KiB
2022-03-24T10:34:48.776137image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.37
5-th percentile-5.774
Q1-1.3925
median0
Q30.475
95-th percentile4.626
Maximum14.41
Range44.78
Interquartile range (IQR)1.8675

Descriptive statistics

Standard deviation3.589636499
Coefficient of variation (CV)-7.305104377
Kurtosis14.30584654
Mean-0.4913874346
Median Absolute Deviation (MAD)1.03
Skewness-1.257465919
Sum-187.71
Variance12.8854902
MonotonicityNot monotonic
2022-03-24T10:34:48.822065image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
095
 
24.9%
-1.038
 
2.1%
-0.515
 
1.3%
0.515
 
1.3%
-1.045
 
1.3%
1.025
 
1.3%
-1.024
 
1.0%
-0.524
 
1.0%
0.44
 
1.0%
0.913
 
0.8%
Other values (205)244
63.9%
ValueCountFrequency (%)
-30.371
0.3%
-12.891
0.3%
-11.171
0.3%
-10.621
0.3%
-9.251
0.3%
ValueCountFrequency (%)
14.411
0.3%
12.031
0.3%
11.151
0.3%
10.981
0.3%
9.931
0.3%

地方政府债.81
Real number (ℝ)

ZEROS

Distinct305
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671256545
Minimum-11.71
Maximum27.77
Zeros38
Zeros (%)9.9%
Negative137
Negative (%)35.9%
Memory size3.1 KiB
2022-03-24T10:34:48.869232image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.71
5-th percentile-4.997
Q1-1.1
median0.505
Q33.505
95-th percentile11.7325
Maximum27.77
Range39.48
Interquartile range (IQR)4.605

Descriptive statistics

Standard deviation5.260395182
Coefficient of variation (CV)3.147568935
Kurtosis3.391610045
Mean1.671256545
Median Absolute Deviation (MAD)2.275
Skewness1.332742293
Sum638.42
Variance27.67175747
MonotonicityNot monotonic
2022-03-24T10:34:48.916015image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
9.9%
3.923
 
0.8%
1.053
 
0.8%
-0.633
 
0.8%
-0.533
 
0.8%
0.513
 
0.8%
1.342
 
0.5%
0.732
 
0.5%
3.622
 
0.5%
3.022
 
0.5%
Other values (295)321
84.0%
ValueCountFrequency (%)
-11.711
0.3%
-11.61
0.3%
-10.021
0.3%
-8.431
0.3%
-8.371
0.3%
ValueCountFrequency (%)
27.771
0.3%
22.561
0.3%
20.931
0.3%
20.771
0.3%
17.821
0.3%

地方政府债.82
Real number (ℝ)

ZEROS

Distinct320
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.462617801
Minimum-43.08
Maximum48.58
Zeros18
Zeros (%)4.7%
Negative213
Negative (%)55.8%
Memory size3.1 KiB
2022-03-24T10:34:48.966379image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-43.08
5-th percentile-11.558
Q1-3.1625
median-0.39
Q31.9375
95-th percentile11.905
Maximum48.58
Range91.66
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation8.369262219
Coefficient of variation (CV)-18.0910942
Kurtosis9.410847542
Mean-0.462617801
Median Absolute Deviation (MAD)2.65
Skewness-0.0934616045
Sum-176.72
Variance70.04455008
MonotonicityNot monotonic
2022-03-24T10:34:49.011618image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.94
 
1.0%
-0.23
 
0.8%
-0.393
 
0.8%
1.023
 
0.8%
-0.733
 
0.8%
1.812
 
0.5%
-1.442
 
0.5%
-3.412
 
0.5%
-2.542
 
0.5%
Other values (310)340
89.0%
ValueCountFrequency (%)
-43.081
0.3%
-40.791
0.3%
-38.811
0.3%
-31.931
0.3%
-30.121
0.3%
ValueCountFrequency (%)
48.581
0.3%
39.351
0.3%
33.741
0.3%
21.991
0.3%
21.661
0.3%

地方政府债.83
Real number (ℝ)

ZEROS

Distinct287
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.34
Minimum-39.88
Maximum33.48
Zeros36
Zeros (%)9.4%
Negative230
Negative (%)60.2%
Memory size3.1 KiB
2022-03-24T10:34:49.057284image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-39.88
5-th percentile-10.7175
Q1-2.7275
median-0.505
Q30.49
95-th percentile5.627
Maximum33.48
Range73.36
Interquartile range (IQR)3.2175

Descriptive statistics

Standard deviation6.019873779
Coefficient of variation (CV)-4.492443119
Kurtosis12.95522306
Mean-1.34
Median Absolute Deviation (MAD)1.5
Skewness-1.152548171
Sum-511.88
Variance36.23888031
MonotonicityNot monotonic
2022-03-24T10:34:49.103716image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
9.4%
-0.59
 
2.4%
-0.16
 
1.6%
-0.35
 
1.3%
-0.44
 
1.0%
0.013
 
0.8%
0.33
 
0.8%
-3.413
 
0.8%
-0.73
 
0.8%
-0.523
 
0.8%
Other values (277)307
80.4%
ValueCountFrequency (%)
-39.881
0.3%
-37.011
0.3%
-26.761
0.3%
-26.51
0.3%
-21.71
0.3%
ValueCountFrequency (%)
33.481
0.3%
20.41
0.3%
20.031
0.3%
18.291
0.3%
16.421
0.3%

地方政府债.84
Real number (ℝ)

ZEROS

Distinct283
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2628010471
Minimum-28.78
Maximum23.52
Zeros48
Zeros (%)12.6%
Negative179
Negative (%)46.9%
Memory size3.1 KiB
2022-03-24T10:34:49.152233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.78
5-th percentile-7.839
Q1-1.6975
median0
Q31.3775
95-th percentile8.562
Maximum23.52
Range52.3
Interquartile range (IQR)3.075

Descriptive statistics

Standard deviation5.356902262
Coefficient of variation (CV)-20.38386955
Kurtosis7.774740597
Mean-0.2628010471
Median Absolute Deviation (MAD)1.55
Skewness-0.8352557246
Sum-100.39
Variance28.69640184
MonotonicityNot monotonic
2022-03-24T10:34:49.199538image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
048
 
12.6%
-0.15
 
1.3%
1.014
 
1.0%
-0.493
 
0.8%
-4.033
 
0.8%
-0.723
 
0.8%
0.513
 
0.8%
-0.283
 
0.8%
2.922
 
0.5%
0.722
 
0.5%
Other values (273)306
80.1%
ValueCountFrequency (%)
-28.781
0.3%
-26.571
0.3%
-25.331
0.3%
-24.531
0.3%
-19.431
0.3%
ValueCountFrequency (%)
23.521
0.3%
22.421
0.3%
18.891
0.3%
11.881
0.3%
11.511
0.3%

地方政府债.85
Real number (ℝ)

ZEROS

Distinct152
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.659973822
Minimum-76.32
Maximum51.51
Zeros188
Zeros (%)49.2%
Negative131
Negative (%)34.3%
Memory size3.1 KiB
2022-03-24T10:34:49.245330image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-76.32
5-th percentile-6.286
Q1-0.5
median0
Q30
95-th percentile2.158
Maximum51.51
Range127.83
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation7.740316633
Coefficient of variation (CV)-11.72821766
Kurtosis46.9289638
Mean-0.659973822
Median Absolute Deviation (MAD)0.04
Skewness-3.546775499
Sum-252.11
Variance59.91250157
MonotonicityNot monotonic
2022-03-24T10:34:49.294695image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0188
49.2%
-0.17
 
1.8%
-0.55
 
1.3%
0.484
 
1.0%
-1.313
 
0.8%
-0.43
 
0.8%
-0.493
 
0.8%
0.13
 
0.8%
-0.63
 
0.8%
-0.23
 
0.8%
Other values (142)160
41.9%
ValueCountFrequency (%)
-76.321
0.3%
-59.521
0.3%
-54.211
0.3%
-40.991
0.3%
-26.491
0.3%
ValueCountFrequency (%)
51.511
0.3%
33.541
0.3%
32.121
0.3%
27.381
0.3%
25.351
0.3%

地方政府债.86
Real number (ℝ)

ZEROS

Distinct138
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5231413613
Minimum-18.72
Maximum51.55
Zeros217
Zeros (%)56.8%
Negative119
Negative (%)31.2%
Memory size3.1 KiB
2022-03-24T10:34:49.343239image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.72
5-th percentile-4.7795
Q1-0.5075
median0
Q30
95-th percentile1.5175
Maximum51.55
Range70.27
Interquartile range (IQR)0.5075

Descriptive statistics

Standard deviation3.690851366
Coefficient of variation (CV)-7.055170245
Kurtosis107.2162072
Mean-0.5231413613
Median Absolute Deviation (MAD)0
Skewness6.472561635
Sum-199.84
Variance13.62238381
MonotonicityNot monotonic
2022-03-24T10:34:49.389828image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0217
56.8%
-0.34
 
1.0%
-0.513
 
0.8%
-0.53
 
0.8%
-0.313
 
0.8%
-0.12
 
0.5%
-2.842
 
0.5%
2.082
 
0.5%
0.32
 
0.5%
-0.012
 
0.5%
Other values (128)142
37.2%
ValueCountFrequency (%)
-18.721
0.3%
-16.591
0.3%
-14.871
0.3%
-12.451
0.3%
-10.961
0.3%
ValueCountFrequency (%)
51.551
0.3%
10.51
0.3%
10.051
0.3%
5.621
0.3%
4.811
0.3%

地方政府债.87
Real number (ℝ)

ZEROS

Distinct228
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.403926702
Minimum-29.94
Maximum9.8
Zeros79
Zeros (%)20.7%
Negative243
Negative (%)63.6%
Memory size3.1 KiB
2022-03-24T10:34:49.440660image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.94
5-th percentile-6.5975
Q1-1.8
median-0.5
Q30
95-th percentile1.9195
Maximum9.8
Range39.74
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation3.63460732
Coefficient of variation (CV)-2.58888681
Kurtosis22.22664362
Mean-1.403926702
Median Absolute Deviation (MAD)0.665
Skewness-3.695812499
Sum-536.3
Variance13.21037037
MonotonicityNot monotonic
2022-03-24T10:34:49.489662image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
079
 
20.7%
-0.18
 
2.1%
-0.495
 
1.3%
-0.34
 
1.0%
-14
 
1.0%
-0.314
 
1.0%
-0.714
 
1.0%
-0.413
 
0.8%
-0.53
 
0.8%
-1.53
 
0.8%
Other values (218)265
69.4%
ValueCountFrequency (%)
-29.941
0.3%
-27.191
0.3%
-23.631
0.3%
-20.231
0.3%
-15.231
0.3%
ValueCountFrequency (%)
9.81
0.3%
7.981
0.3%
5.391
0.3%
4.981
0.3%
4.841
0.3%

地方政府债.88
Real number (ℝ)

ZEROS

Distinct138
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.232041885
Minimum-71.86
Maximum17.62
Zeros225
Zeros (%)58.9%
Negative131
Negative (%)34.3%
Memory size3.1 KiB
2022-03-24T10:34:49.541927image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-71.86
5-th percentile-15.3535
Q1-1.255
median0
Q30
95-th percentile0.8975
Maximum17.62
Range89.48
Interquartile range (IQR)1.255

Descriptive statistics

Standard deviation7.639672872
Coefficient of variation (CV)-3.422728276
Kurtosis30.99638944
Mean-2.232041885
Median Absolute Deviation (MAD)0
Skewness-4.696018048
Sum-852.64
Variance58.36460159
MonotonicityNot monotonic
2022-03-24T10:34:49.587129image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0225
58.9%
-0.15
 
1.3%
-0.53
 
0.8%
-0.23
 
0.8%
-0.83
 
0.8%
0.73
 
0.8%
-2.222
 
0.5%
-5.262
 
0.5%
5.62
 
0.5%
-0.42
 
0.5%
Other values (128)132
34.6%
ValueCountFrequency (%)
-71.861
0.3%
-59.131
0.3%
-44.071
0.3%
-40.641
0.3%
-35.771
0.3%
ValueCountFrequency (%)
17.621
0.3%
14.271
0.3%
13.391
0.3%
7.691
0.3%
7.441
0.3%

地方政府债.89
Real number (ℝ)

ZEROS

Distinct358
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.704188482
Minimum-99.28
Maximum77.63
Zeros13
Zeros (%)3.4%
Negative225
Negative (%)58.9%
Memory size3.1 KiB
2022-03-24T10:34:49.931227image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-99.28
5-th percentile-42.588
Q1-14.535
median-3.315
Q35.24
95-th percentile21.5595
Maximum77.63
Range176.91
Interquartile range (IQR)19.775

Descriptive statistics

Standard deviation20.1373169
Coefficient of variation (CV)-3.530268498
Kurtosis2.969390661
Mean-5.704188482
Median Absolute Deviation (MAD)9.71
Skewness-0.5338493856
Sum-2179
Variance405.511532
MonotonicityNot monotonic
2022-03-24T10:34:49.977727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-6.172
 
0.5%
2.492
 
0.5%
-3.42
 
0.5%
-11.92
 
0.5%
1.152
 
0.5%
1.572
 
0.5%
-9.452
 
0.5%
-20.322
 
0.5%
13.712
 
0.5%
Other values (348)351
91.9%
ValueCountFrequency (%)
-99.281
0.3%
-791
0.3%
-73.961
0.3%
-73.121
0.3%
-62.971
0.3%
ValueCountFrequency (%)
77.631
0.3%
59.11
0.3%
56.181
0.3%
50.941
0.3%
39.981
0.3%

政金债-合计
Real number (ℝ)

ZEROS

Distinct78
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03806282723
Minimum-3.58
Maximum3.86
Zeros230
Zeros (%)60.2%
Negative90
Negative (%)23.6%
Memory size3.1 KiB
2022-03-24T10:34:50.027606image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.58
5-th percentile-1.029
Q10
median0
Q30
95-th percentile1
Maximum3.86
Range7.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6145180697
Coefficient of variation (CV)-16.14483512
Kurtosis9.322751008
Mean-0.03806282723
Median Absolute Deviation (MAD)0
Skewness-0.07449310959
Sum-14.54
Variance0.377632458
MonotonicityNot monotonic
2022-03-24T10:34:50.073050image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0230
60.2%
-0.3110
 
2.6%
-0.517
 
1.8%
0.26
 
1.6%
-0.526
 
1.6%
0.55
 
1.3%
-0.15
 
1.3%
0.15
 
1.3%
14
 
1.0%
-0.24
 
1.0%
Other values (68)100
26.2%
ValueCountFrequency (%)
-3.581
0.3%
-2.571
0.3%
-2.331
0.3%
-2.061
0.3%
-2.011
0.3%
ValueCountFrequency (%)
3.861
0.3%
1.991
0.3%
1.821
0.3%
1.81
0.3%
1.711
0.3%

政金债-合计.1
Real number (ℝ)

ZEROS

Distinct159
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0280104712
Minimum-10.39
Maximum5.37
Zeros151
Zeros (%)39.5%
Negative105
Negative (%)27.5%
Memory size3.1 KiB
2022-03-24T10:34:50.121843image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.39
5-th percentile-1.87
Q1-0.1
median0
Q30.3075
95-th percentile2.4145
Maximum5.37
Range15.76
Interquartile range (IQR)0.4075

Descriptive statistics

Standard deviation1.537196282
Coefficient of variation (CV)54.8793439
Kurtosis11.30534854
Mean0.0280104712
Median Absolute Deviation (MAD)0.29
Skewness-1.579824272
Sum10.7
Variance2.362972409
MonotonicityNot monotonic
2022-03-24T10:34:50.169749image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0151
39.5%
0.29
 
2.4%
0.37
 
1.8%
0.57
 
1.8%
-0.16
 
1.6%
0.295
 
1.3%
0.814
 
1.0%
-0.214
 
1.0%
0.44
 
1.0%
1.093
 
0.8%
Other values (149)182
47.6%
ValueCountFrequency (%)
-10.391
0.3%
-8.311
0.3%
-7.811
0.3%
-5.721
0.3%
-5.711
0.3%
ValueCountFrequency (%)
5.371
0.3%
5.171
0.3%
4.641
0.3%
4.341
0.3%
4.121
0.3%

政金债-合计.2
Real number (ℝ)

ZEROS

Distinct199
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0007068062827
Minimum-11.69
Maximum16.08
Zeros90
Zeros (%)23.6%
Negative139
Negative (%)36.4%
Memory size3.1 KiB
2022-03-24T10:34:50.219638image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.69
5-th percentile-2.36
Q1-0.5275
median0
Q30.6075
95-th percentile2.4495
Maximum16.08
Range27.77
Interquartile range (IQR)1.135

Descriptive statistics

Standard deviation2.073955171
Coefficient of variation (CV)-2934.262501
Kurtosis18.34631561
Mean-0.0007068062827
Median Absolute Deviation (MAD)0.54
Skewness0.7771626112
Sum-0.27
Variance4.30129005
MonotonicityNot monotonic
2022-03-24T10:34:50.265523image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
090
 
23.6%
0.29
 
2.4%
-0.28
 
2.1%
0.18
 
2.1%
-0.316
 
1.6%
0.835
 
1.3%
0.215
 
1.3%
0.324
 
1.0%
-0.14
 
1.0%
-0.214
 
1.0%
Other values (189)239
62.6%
ValueCountFrequency (%)
-11.691
0.3%
-9.661
0.3%
-9.31
0.3%
-8.121
0.3%
-6.611
0.3%
ValueCountFrequency (%)
16.081
0.3%
13.081
0.3%
6.591
0.3%
5.841
0.3%
5.321
0.3%

政金债-合计.3
Real number (ℝ)

ZEROS

Distinct114
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3965183246
Minimum-61.67
Maximum11.33
Zeros176
Zeros (%)46.1%
Negative128
Negative (%)33.5%
Memory size3.1 KiB
2022-03-24T10:34:50.315663image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.67
5-th percentile-1.54
Q1-0.3
median0
Q30
95-th percentile0.8475
Maximum11.33
Range73
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation3.694709941
Coefficient of variation (CV)-9.317879431
Kurtosis205.0666516
Mean-0.3965183246
Median Absolute Deviation (MAD)0.105
Skewness-12.94540467
Sum-151.47
Variance13.65088155
MonotonicityNot monotonic
2022-03-24T10:34:50.361748image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0176
46.1%
0.27
 
1.8%
-0.117
 
1.8%
-0.36
 
1.6%
-0.26
 
1.6%
0.216
 
1.6%
-0.315
 
1.3%
-0.525
 
1.3%
-0.14
 
1.0%
-0.224
 
1.0%
Other values (104)156
40.8%
ValueCountFrequency (%)
-61.671
0.3%
-25.31
0.3%
-12.631
0.3%
-9.641
0.3%
-8.851
0.3%
ValueCountFrequency (%)
11.331
0.3%
5.681
0.3%
4.771
0.3%
3.121
0.3%
2.371
0.3%

政金债-合计.4
Real number (ℝ)

ZEROS

Distinct341
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6715706806
Minimum-40.53
Maximum80.43
Zeros17
Zeros (%)4.5%
Negative167
Negative (%)43.7%
Memory size3.1 KiB
2022-03-24T10:34:50.410594image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-40.53
5-th percentile-11.3065
Q1-2.0775
median0.1
Q33.12
95-th percentile12.7955
Maximum80.43
Range120.96
Interquartile range (IQR)5.1975

Descriptive statistics

Standard deviation8.827383197
Coefficient of variation (CV)13.14438443
Kurtosis20.55333858
Mean0.6715706806
Median Absolute Deviation (MAD)2.425
Skewness1.812742282
Sum256.54
Variance77.92269411
MonotonicityNot monotonic
2022-03-24T10:34:50.458764image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
4.5%
0.193
 
0.8%
0.13
 
0.8%
-0.122
 
0.5%
-0.582
 
0.5%
1.12
 
0.5%
-6.812
 
0.5%
2.52
 
0.5%
2.922
 
0.5%
0.42
 
0.5%
Other values (331)345
90.3%
ValueCountFrequency (%)
-40.531
0.3%
-29.471
0.3%
-28.511
0.3%
-25.061
0.3%
-22.651
0.3%
ValueCountFrequency (%)
80.431
0.3%
37.681
0.3%
37.021
0.3%
28.541
0.3%
24.71
0.3%

政金债-合计.5
Real number (ℝ)

ZEROS

Distinct23
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01151832461
Minimum-0.75
Maximum3.29
Zeros340
Zeros (%)89.0%
Negative23
Negative (%)6.0%
Memory size3.1 KiB
2022-03-24T10:34:50.500868image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.75
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0
Maximum3.29
Range4.04
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2457754314
Coefficient of variation (CV)21.33777609
Kurtosis97.91156495
Mean0.01151832461
Median Absolute Deviation (MAD)0
Skewness8.007767866
Sum4.4
Variance0.06040556266
MonotonicityNot monotonic
2022-03-24T10:34:50.538144image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0340
89.0%
-0.544
 
1.0%
-0.14
 
1.0%
0.24
 
1.0%
0.53
 
0.8%
-0.213
 
0.8%
-0.23
 
0.8%
0.13
 
0.8%
-0.312
 
0.5%
-0.512
 
0.5%
Other values (13)14
 
3.7%
ValueCountFrequency (%)
-0.751
 
0.3%
-0.721
 
0.3%
-0.544
1.0%
-0.521
 
0.3%
-0.512
0.5%
ValueCountFrequency (%)
3.291
0.3%
2.11
0.3%
1.011
0.3%
0.881
0.3%
0.741
0.3%

政金债-合计.6
Real number (ℝ)

ZEROS

Distinct85
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2345811518
Minimum-2.98
Maximum6.97
Zeros240
Zeros (%)62.8%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:34:50.585592image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.98
5-th percentile-0.51
Q10
median0
Q30.1
95-th percentile1.94
Maximum6.97
Range9.95
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.8614629
Coefficient of variation (CV)3.672344915
Kurtosis15.88659119
Mean0.2345811518
Median Absolute Deviation (MAD)0
Skewness3.024704243
Sum89.61
Variance0.742118328
MonotonicityNot monotonic
2022-03-24T10:34:50.632710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0240
62.8%
0.216
 
1.6%
0.56
 
1.6%
0.515
 
1.3%
-0.515
 
1.3%
-0.215
 
1.3%
0.824
 
1.0%
0.424
 
1.0%
0.114
 
1.0%
-0.323
 
0.8%
Other values (75)100
26.2%
ValueCountFrequency (%)
-2.981
0.3%
-2.441
0.3%
-1.591
0.3%
-1.541
0.3%
-1.121
0.3%
ValueCountFrequency (%)
6.971
0.3%
4.681
0.3%
4.161
0.3%
4.061
0.3%
3.491
0.3%

政金债-合计.7
Real number (ℝ)

ZEROS

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.104973822
Minimum-0.58
Maximum13.55
Zeros369
Zeros (%)96.6%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:50.670884image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.58
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.55
Range14.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.002592898
Coefficient of variation (CV)9.550884963
Kurtosis133.2346664
Mean0.104973822
Median Absolute Deviation (MAD)0
Skewness11.19572139
Sum40.1
Variance1.005192519
MonotonicityNot monotonic
2022-03-24T10:34:50.704475image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0369
96.6%
0.12
 
0.5%
-0.581
 
0.3%
3.781
 
0.3%
6.861
 
0.3%
2.971
 
0.3%
0.231
 
0.3%
-0.231
 
0.3%
11.461
 
0.3%
0.21
 
0.3%
Other values (3)3
 
0.8%
ValueCountFrequency (%)
-0.581
 
0.3%
-0.231
 
0.3%
0369
96.6%
0.12
 
0.5%
0.21
 
0.3%
ValueCountFrequency (%)
13.551
0.3%
11.461
0.3%
6.861
0.3%
3.781
0.3%
2.971
0.3%

政金债-合计.8
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007853403141
Minimum0
Maximum0.3
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:50.739095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0153493353
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0007853403141
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.3
Variance0.0002356020942
MonotonicityNot monotonic
2022-03-24T10:34:50.768754image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0.31
 
0.3%
0381
99.7%

政金债-合计.9
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6166230366
Minimum-56.37
Maximum75.12
Zeros14
Zeros (%)3.7%
Negative173
Negative (%)45.3%
Memory size3.1 KiB
2022-03-24T10:34:50.811128image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.37
5-th percentile-13.5545
Q1-3.14
median0.065
Q34.375
95-th percentile16.53
Maximum75.12
Range131.49
Interquartile range (IQR)7.515

Descriptive statistics

Standard deviation10.16326083
Coefficient of variation (CV)16.48212964
Kurtosis12.59720075
Mean0.6166230366
Median Absolute Deviation (MAD)3.7
Skewness0.336996773
Sum235.55
Variance103.2918707
MonotonicityNot monotonic
2022-03-24T10:34:50.861383image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-3.142
 
0.5%
-4.262
 
0.5%
-0.22
 
0.5%
-0.132
 
0.5%
-6.52
 
0.5%
5.052
 
0.5%
0.892
 
0.5%
3.742
 
0.5%
3.452
 
0.5%
Other values (338)350
91.6%
ValueCountFrequency (%)
-56.371
0.3%
-51.31
0.3%
-32.631
0.3%
-31.641
0.3%
-30.881
0.3%
ValueCountFrequency (%)
75.121
0.3%
41.911
0.3%
28.641
0.3%
27.811
0.3%
26.681
0.3%

政金债-合计.10
Real number (ℝ)

ZEROS

Distinct342
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.314659686
Minimum-40.08
Maximum42.5
Zeros14
Zeros (%)3.7%
Negative235
Negative (%)61.5%
Memory size3.1 KiB
2022-03-24T10:34:50.912118image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-40.08
5-th percentile-15.1325
Q1-6.6175
median-2.055
Q32.0425
95-th percentile9.3995
Maximum42.5
Range82.58
Interquartile range (IQR)8.66

Descriptive statistics

Standard deviation8.117315264
Coefficient of variation (CV)-3.506915213
Kurtosis4.072293549
Mean-2.314659686
Median Absolute Deviation (MAD)4.385
Skewness0.4386495704
Sum-884.2
Variance65.8908071
MonotonicityNot monotonic
2022-03-24T10:34:50.957860image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-2.713
 
0.8%
-4.453
 
0.8%
1.952
 
0.5%
-3.142
 
0.5%
4.582
 
0.5%
4.652
 
0.5%
2.412
 
0.5%
-7.972
 
0.5%
5.192
 
0.5%
Other values (332)348
91.1%
ValueCountFrequency (%)
-40.081
0.3%
-21.331
0.3%
-21.181
0.3%
-20.771
0.3%
-20.561
0.3%
ValueCountFrequency (%)
42.51
0.3%
30.231
0.3%
26.011
0.3%
25.291
0.3%
21.351
0.3%

政金债-合计.11
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.221099476
Minimum-47.06
Maximum26.37
Zeros11
Zeros (%)2.9%
Negative203
Negative (%)53.1%
Memory size3.1 KiB
2022-03-24T10:34:51.005140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-47.06
5-th percentile-22.974
Q1-8.0825
median-1.105
Q34.2775
95-th percentile13.8845
Maximum26.37
Range73.43
Interquartile range (IQR)12.36

Descriptive statistics

Standard deviation11.00221902
Coefficient of variation (CV)-4.953501246
Kurtosis1.334216939
Mean-2.221099476
Median Absolute Deviation (MAD)6.58
Skewness-0.5807181657
Sum-848.46
Variance121.0488235
MonotonicityNot monotonic
2022-03-24T10:34:51.053944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-9.573
 
0.8%
0.372
 
0.5%
-0.882
 
0.5%
-5.422
 
0.5%
1.592
 
0.5%
-2.972
 
0.5%
-3.992
 
0.5%
-1.662
 
0.5%
-1.232
 
0.5%
Other values (350)352
92.1%
ValueCountFrequency (%)
-47.061
0.3%
-45.011
0.3%
-35.531
0.3%
-33.411
0.3%
-33.111
0.3%
ValueCountFrequency (%)
26.371
0.3%
26.361
0.3%
26.091
0.3%
25.11
0.3%
23.641
0.3%

政金债-合计.12
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.77486911
Minimum-38.17
Maximum61.83
Zeros11
Zeros (%)2.9%
Negative145
Negative (%)38.0%
Memory size3.1 KiB
2022-03-24T10:34:51.106291image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.17
5-th percentile-16.248
Q1-4.79
median3.22
Q312.3675
95-th percentile32.1195
Maximum61.83
Range100
Interquartile range (IQR)17.1575

Descriptive statistics

Standard deviation14.43493414
Coefficient of variation (CV)3.023105725
Kurtosis0.9733080316
Mean4.77486911
Median Absolute Deviation (MAD)8.535
Skewness0.5629981241
Sum1824
Variance208.3673237
MonotonicityNot monotonic
2022-03-24T10:34:51.156195image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
4.943
 
0.8%
3.22
 
0.5%
3.342
 
0.5%
2.972
 
0.5%
-5.682
 
0.5%
7.212
 
0.5%
-16.872
 
0.5%
9.642
 
0.5%
-1.332
 
0.5%
Other values (352)352
92.1%
ValueCountFrequency (%)
-38.171
0.3%
-29.461
0.3%
-26.31
0.3%
-24.871
0.3%
-24.581
0.3%
ValueCountFrequency (%)
61.831
0.3%
52.241
0.3%
49.031
0.3%
47.381
0.3%
44.651
0.3%

政金债-合计.13
Real number (ℝ)

ZEROS

Distinct344
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.299528796
Minimum-63.01
Maximum25.15
Zeros14
Zeros (%)3.7%
Negative211
Negative (%)55.2%
Memory size3.1 KiB
2022-03-24T10:34:51.205417image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.01
5-th percentile-22.3175
Q1-5.24
median-0.5
Q32.8675
95-th percentile10.6675
Maximum25.15
Range88.16
Interquartile range (IQR)8.1075

Descriptive statistics

Standard deviation10.22943167
Coefficient of variation (CV)-4.448490354
Kurtosis7.392163824
Mean-2.299528796
Median Absolute Deviation (MAD)4.035
Skewness-1.950317538
Sum-878.42
Variance104.6412722
MonotonicityNot monotonic
2022-03-24T10:34:51.253790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
2.643
 
0.8%
-2.972
 
0.5%
3.892
 
0.5%
-0.192
 
0.5%
-9.292
 
0.5%
-9.272
 
0.5%
-2.282
 
0.5%
-5.152
 
0.5%
-3.162
 
0.5%
Other values (334)349
91.4%
ValueCountFrequency (%)
-63.011
0.3%
-53.231
0.3%
-50.081
0.3%
-42.971
0.3%
-42.721
0.3%
ValueCountFrequency (%)
25.151
0.3%
21.191
0.3%
18.971
0.3%
17.821
0.3%
17.331
0.3%

政金债-合计.14
Real number (ℝ)

ZEROS

Distinct370
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.71586387
Minimum-227.86
Maximum289.52
Zeros11
Zeros (%)2.9%
Negative157
Negative (%)41.1%
Memory size3.1 KiB
2022-03-24T10:34:51.302903image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-227.86
5-th percentile-58.198
Q1-18.3025
median6.905
Q336.9125
95-th percentile103.8745
Maximum289.52
Range517.38
Interquartile range (IQR)55.215

Descriptive statistics

Standard deviation51.77398015
Coefficient of variation (CV)4.419134662
Kurtosis3.547246779
Mean11.71586387
Median Absolute Deviation (MAD)28.19
Skewness0.4917183581
Sum4475.46
Variance2680.54502
MonotonicityNot monotonic
2022-03-24T10:34:51.352958image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
12.772
 
0.5%
11.952
 
0.5%
46.511
 
0.3%
0.541
 
0.3%
-35.211
 
0.3%
37.431
 
0.3%
23.331
 
0.3%
50.751
 
0.3%
56.731
 
0.3%
Other values (360)360
94.2%
ValueCountFrequency (%)
-227.861
0.3%
-142.931
0.3%
-138.361
0.3%
-117.771
0.3%
-102.021
0.3%
ValueCountFrequency (%)
289.521
0.3%
169.851
0.3%
164.591
0.3%
162.251
0.3%
156.121
0.3%

政金债-合计.15
Real number (ℝ)

ZEROS

Distinct53
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01751308901
Minimum-2
Maximum2.44
Zeros277
Zeros (%)72.5%
Negative60
Negative (%)15.7%
Memory size3.1 KiB
2022-03-24T10:34:51.403204image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-0.5195
Q10
median0
Q30
95-th percentile0.396
Maximum2.44
Range4.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3050568444
Coefficient of variation (CV)-17.41879141
Kurtosis18.71578145
Mean-0.01751308901
Median Absolute Deviation (MAD)0
Skewness0.6820912119
Sum-6.69
Variance0.09305967831
MonotonicityNot monotonic
2022-03-24T10:34:51.450726image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277
72.5%
0.217
 
1.8%
-0.316
 
1.6%
-0.535
 
1.3%
-0.35
 
1.3%
0.545
 
1.3%
0.35
 
1.3%
-0.324
 
1.0%
-0.214
 
1.0%
-0.24
 
1.0%
Other values (43)60
 
15.7%
ValueCountFrequency (%)
-21
0.3%
-1.111
0.3%
-1.052
0.5%
-1.011
0.3%
-11
0.3%
ValueCountFrequency (%)
2.441
0.3%
1.511
0.3%
1.071
0.3%
1.051
0.3%
0.911
0.3%

政金债-合计.16
Real number (ℝ)

ZEROS

Distinct116
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0569895288
Minimum-7.8
Maximum4.38
Zeros165
Zeros (%)43.2%
Negative94
Negative (%)24.6%
Memory size3.1 KiB
2022-03-24T10:34:51.499024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.8
5-th percentile-1.56
Q10
median0
Q30.3
95-th percentile1.0995
Maximum4.38
Range12.18
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation1.04859666
Coefficient of variation (CV)-18.39981277
Kurtosis18.96649795
Mean-0.0569895288
Median Absolute Deviation (MAD)0.205
Skewness-2.828285965
Sum-21.77
Variance1.099554955
MonotonicityNot monotonic
2022-03-24T10:34:51.548020image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0165
43.2%
-0.2113
 
3.4%
0.2110
 
2.6%
0.5110
 
2.6%
-0.19
 
2.4%
0.18
 
2.1%
0.317
 
1.8%
0.57
 
1.8%
0.426
 
1.6%
0.525
 
1.3%
Other values (106)142
37.2%
ValueCountFrequency (%)
-7.81
0.3%
-7.331
0.3%
-6.371
0.3%
-4.411
0.3%
-4.111
0.3%
ValueCountFrequency (%)
4.381
0.3%
3.191
0.3%
2.971
0.3%
2.291
0.3%
2.151
0.3%

政金债-合计.17
Real number (ℝ)

ZEROS

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01963350785
Minimum-2.69
Maximum6.06
Zeros370
Zeros (%)96.9%
Negative5
Negative (%)1.3%
Memory size3.1 KiB
2022-03-24T10:34:51.591398image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.69
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6.06
Range8.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4592957884
Coefficient of variation (CV)23.39346549
Kurtosis126.2296689
Mean0.01963350785
Median Absolute Deviation (MAD)0
Skewness9.141388526
Sum7.5
Variance0.2109526212
MonotonicityNot monotonic
2022-03-24T10:34:51.625744image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0370
96.9%
0.312
 
0.5%
5.231
 
0.3%
-0.581
 
0.3%
-2.691
 
0.3%
-0.61
 
0.3%
-2.221
 
0.3%
-0.411
 
0.3%
0.211
 
0.3%
0.11
 
0.3%
Other values (2)2
 
0.5%
ValueCountFrequency (%)
-2.691
0.3%
-2.221
0.3%
-0.61
0.3%
-0.581
0.3%
-0.411
0.3%
ValueCountFrequency (%)
6.061
0.3%
5.231
0.3%
1.781
0.3%
0.312
0.5%
0.211
0.3%

政金债-合计.18
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001308900524
Minimum0
Maximum0.5
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:51.657442image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.5
Range0.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0255822255
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.001308900524
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.5
Variance0.0006544502618
MonotonicityNot monotonic
2022-03-24T10:34:51.690133image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.51
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.51
 
0.3%
ValueCountFrequency (%)
0.51
 
0.3%
0381
99.7%

政金债-合计.19
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.601230366
Minimum-238.13
Maximum311.72
Zeros11
Zeros (%)2.9%
Negative171
Negative (%)44.8%
Memory size3.1 KiB
2022-03-24T10:34:51.731538image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-238.13
5-th percentile-101.58
Q1-31.7025
median2.81
Q347.88
95-th percentile129.155
Maximum311.72
Range549.85
Interquartile range (IQR)79.5825

Descriptive statistics

Standard deviation70.68610891
Coefficient of variation (CV)7.362192782
Kurtosis1.46111138
Mean9.601230366
Median Absolute Deviation (MAD)40.405
Skewness0.2728790716
Sum3667.67
Variance4996.525992
MonotonicityNot monotonic
2022-03-24T10:34:51.777728image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-24.542
 
0.5%
-101.582
 
0.5%
-44.72
 
0.5%
70.551
 
0.3%
77.671
 
0.3%
167.51
 
0.3%
8.831
 
0.3%
-47.781
 
0.3%
35.361
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-238.131
0.3%
-189.071
0.3%
-172.321
0.3%
-172.31
0.3%
-170.721
0.3%
ValueCountFrequency (%)
311.721
0.3%
249.141
0.3%
205.241
0.3%
185.651
0.3%
181.591
0.3%

政金债-合计.20
Real number (ℝ)

ZEROS

Distinct357
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-17.86664921
Minimum-70.87
Maximum29.11
Zeros11
Zeros (%)2.9%
Negative350
Negative (%)91.6%
Memory size3.1 KiB
2022-03-24T10:34:51.827894image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.87
5-th percentile-46.298
Q1-26.9
median-16.225
Q3-5.975
95-th percentile0.288
Maximum29.11
Range99.98
Interquartile range (IQR)20.925

Descriptive statistics

Standard deviation14.92098207
Coefficient of variation (CV)-0.835130409
Kurtosis0.3596183178
Mean-17.86664921
Median Absolute Deviation (MAD)10.38
Skewness-0.5811806816
Sum-6825.06
Variance222.6357058
MonotonicityNot monotonic
2022-03-24T10:34:51.872899image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-3.513
 
0.8%
-7.992
 
0.5%
-15.862
 
0.5%
-2.052
 
0.5%
-16.682
 
0.5%
-7.762
 
0.5%
-33.22
 
0.5%
-19.592
 
0.5%
-10.392
 
0.5%
Other values (347)352
92.1%
ValueCountFrequency (%)
-70.871
0.3%
-63.261
0.3%
-61.431
0.3%
-61.271
0.3%
-56.311
0.3%
ValueCountFrequency (%)
29.111
0.3%
18.021
0.3%
17.691
0.3%
6.581
0.3%
5.61
0.3%

政金债-合计.21
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-17.13560209
Minimum-70.77
Maximum20.24
Zeros12
Zeros (%)3.1%
Negative332
Negative (%)86.9%
Memory size3.1 KiB
2022-03-24T10:34:51.921239image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.77
5-th percentile-42.9765
Q1-26.9525
median-15.875
Q3-5.6775
95-th percentile4.5845
Maximum20.24
Range91.01
Interquartile range (IQR)21.275

Descriptive statistics

Standard deviation14.8822613
Coefficient of variation (CV)-0.8684994677
Kurtosis0.6203585909
Mean-17.13560209
Median Absolute Deviation (MAD)10.49
Skewness-0.5661328314
Sum-6545.8
Variance221.4817013
MonotonicityNot monotonic
2022-03-24T10:34:51.969800image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-292
 
0.5%
-8.182
 
0.5%
-15.972
 
0.5%
-30.422
 
0.5%
-17.662
 
0.5%
-15.782
 
0.5%
-27.822
 
0.5%
-29.382
 
0.5%
-28.592
 
0.5%
Other values (350)352
92.1%
ValueCountFrequency (%)
-70.771
0.3%
-69.181
0.3%
-67.621
0.3%
-65.981
0.3%
-60.571
0.3%
ValueCountFrequency (%)
20.241
0.3%
14.091
0.3%
13.191
0.3%
11.551
0.3%
10.41
0.3%

政金债-合计.22
Real number (ℝ)

ZEROS

Distinct355
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.83709424
Minimum-93.23
Maximum55.46
Zeros11
Zeros (%)2.9%
Negative325
Negative (%)85.1%
Memory size3.1 KiB
2022-03-24T10:34:52.018592image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-93.23
5-th percentile-38.2485
Q1-19.5725
median-10.615
Q3-3.565
95-th percentile4.0165
Maximum55.46
Range148.69
Interquartile range (IQR)16.0075

Descriptive statistics

Standard deviation14.08996693
Coefficient of variation (CV)-1.097597842
Kurtosis4.265214306
Mean-12.83709424
Median Absolute Deviation (MAD)7.59
Skewness-0.9140558491
Sum-4903.77
Variance198.5271682
MonotonicityNot monotonic
2022-03-24T10:34:52.065483image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-8.742
 
0.5%
-17.52
 
0.5%
-3.022
 
0.5%
-24.012
 
0.5%
-21.452
 
0.5%
-12.582
 
0.5%
-1.932
 
0.5%
-5.692
 
0.5%
-6.392
 
0.5%
Other values (345)353
92.4%
ValueCountFrequency (%)
-93.231
0.3%
-61.151
0.3%
-59.231
0.3%
-58.541
0.3%
-56.11
0.3%
ValueCountFrequency (%)
55.461
0.3%
15.051
0.3%
15.011
0.3%
14.781
0.3%
10.461
0.3%

政金债-合计.23
Real number (ℝ)

ZEROS

Distinct347
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.287094241
Minimum-73.44
Maximum38.22
Zeros13
Zeros (%)3.4%
Negative257
Negative (%)67.3%
Memory size3.1 KiB
2022-03-24T10:34:52.117814image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-73.44
5-th percentile-20.3855
Q1-7.165
median-1.94
Q30.525
95-th percentile6.85
Maximum38.22
Range111.66
Interquartile range (IQR)7.69

Descriptive statistics

Standard deviation10.898751
Coefficient of variation (CV)-2.542223331
Kurtosis10.08874618
Mean-4.287094241
Median Absolute Deviation (MAD)3.31
Skewness-2.062864222
Sum-1637.67
Variance118.7827734
MonotonicityNot monotonic
2022-03-24T10:34:52.164267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-4.192
 
0.5%
-0.612
 
0.5%
-3.192
 
0.5%
1.112
 
0.5%
-0.932
 
0.5%
-3.752
 
0.5%
-1.052
 
0.5%
-13.392
 
0.5%
0.612
 
0.5%
Other values (337)351
91.9%
ValueCountFrequency (%)
-73.441
0.3%
-60.361
0.3%
-56.41
0.3%
-55.341
0.3%
-53.371
0.3%
ValueCountFrequency (%)
38.221
0.3%
29.681
0.3%
22.611
0.3%
20.741
0.3%
18.611
0.3%

政金债-合计.24
Real number (ℝ)

ZEROS

Distinct363
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-20.66091623
Minimum-119.68
Maximum42.32
Zeros11
Zeros (%)2.9%
Negative313
Negative (%)81.9%
Memory size3.1 KiB
2022-03-24T10:34:52.210879image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-119.68
5-th percentile-62.9875
Q1-35.195
median-17.81
Q3-4.4325
95-th percentile9.632
Maximum42.32
Range162
Interquartile range (IQR)30.7625

Descriptive statistics

Standard deviation22.61866036
Coefficient of variation (CV)-1.09475592
Kurtosis0.8363276694
Mean-20.66091623
Median Absolute Deviation (MAD)15.055
Skewness-0.6053559307
Sum-7892.47
Variance511.6037963
MonotonicityNot monotonic
2022-03-24T10:34:52.257565image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-20.122
 
0.5%
-29.812
 
0.5%
-11.032
 
0.5%
-42.592
 
0.5%
-42.032
 
0.5%
-4.312
 
0.5%
-20.922
 
0.5%
-19.352
 
0.5%
-6.232
 
0.5%
Other values (353)353
92.4%
ValueCountFrequency (%)
-119.681
0.3%
-93.351
0.3%
-87.651
0.3%
-77.351
0.3%
-75.551
0.3%
ValueCountFrequency (%)
42.321
0.3%
31.121
0.3%
27.131
0.3%
26.951
0.3%
26.761
0.3%

政金债-合计.25
Real number (ℝ)

ZEROS

Distinct31
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02246073298
Minimum-4.86
Maximum3.64
Zeros342
Zeros (%)89.5%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:34:52.304756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.86
5-th percentile0
Q10
median0
Q30
95-th percentile0.1
Maximum3.64
Range8.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4380632839
Coefficient of variation (CV)19.50351684
Kurtosis66.1356584
Mean0.02246073298
Median Absolute Deviation (MAD)0
Skewness0.1705823404
Sum8.58
Variance0.1918994407
MonotonicityNot monotonic
2022-03-24T10:34:52.347052image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0342
89.5%
-0.533
 
0.8%
-0.213
 
0.8%
0.12
 
0.5%
-0.312
 
0.5%
0.212
 
0.5%
0.432
 
0.5%
-0.542
 
0.5%
-0.522
 
0.5%
-0.421
 
0.3%
Other values (21)21
 
5.5%
ValueCountFrequency (%)
-4.861
 
0.3%
-1.131
 
0.3%
-0.542
0.5%
-0.533
0.8%
-0.522
0.5%
ValueCountFrequency (%)
3.641
0.3%
3.291
0.3%
2.641
0.3%
2.561
0.3%
1.511
0.3%

政金债-合计.26
Real number (ℝ)

ZEROS

Distinct80
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4257329843
Minimum-17.47
Maximum2.43
Zeros272
Zeros (%)71.2%
Negative81
Negative (%)21.2%
Memory size3.1 KiB
2022-03-24T10:34:52.394563image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.47
5-th percentile-2.5185
Q10
median0
Q30
95-th percentile0.305
Maximum2.43
Range19.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.816929099
Coefficient of variation (CV)-4.267766807
Kurtosis36.19931538
Mean-0.4257329843
Median Absolute Deviation (MAD)0
Skewness-5.464234301
Sum-162.63
Variance3.301231351
MonotonicityNot monotonic
2022-03-24T10:34:52.446558image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0272
71.2%
-0.518
 
2.1%
-0.534
 
1.0%
-0.313
 
0.8%
0.13
 
0.8%
0.23
 
0.8%
-0.13
 
0.8%
-0.213
 
0.8%
-1.053
 
0.8%
-0.52
 
0.5%
Other values (70)78
 
20.4%
ValueCountFrequency (%)
-17.471
0.3%
-13.321
0.3%
-10.991
0.3%
-10.931
0.3%
-10.191
0.3%
ValueCountFrequency (%)
2.431
0.3%
2.091
0.3%
1.661
0.3%
1.641
0.3%
1.461
0.3%

政金债-合计.27
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07115183246
Minimum-9.3
Maximum4.49
Zeros368
Zeros (%)96.3%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:52.489724image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.3
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.49
Range13.79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8167551399
Coefficient of variation (CV)-11.47904575
Kurtosis93.88369877
Mean-0.07115183246
Median Absolute Deviation (MAD)0
Skewness-8.517467856
Sum-27.18
Variance0.6670889585
MonotonicityNot monotonic
2022-03-24T10:34:52.522038image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0368
96.3%
-0.892
 
0.5%
0.941
 
0.3%
-0.961
 
0.3%
-2.791
 
0.3%
-0.21
 
0.3%
0.91
 
0.3%
0.911
 
0.3%
-8.471
 
0.3%
-1.521
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-9.31
0.3%
-8.471
0.3%
-7.731
0.3%
-2.791
0.3%
-1.671
0.3%
ValueCountFrequency (%)
4.491
 
0.3%
0.941
 
0.3%
0.911
 
0.3%
0.91
 
0.3%
0368
96.3%

政金债-合计.29
Real number (ℝ)

ZEROS

Distinct368
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-73.26251309
Minimum-268.65
Maximum49.5
Zeros11
Zeros (%)2.9%
Negative359
Negative (%)94.0%
Memory size3.1 KiB
2022-03-24T10:34:52.565094image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-268.65
5-th percentile-153.7705
Q1-103.1025
median-68.55
Q3-40.2475
95-th percentile0
Maximum49.5
Range318.15
Interquartile range (IQR)62.855

Descriptive statistics

Standard deviation48.80489378
Coefficient of variation (CV)-0.6661646144
Kurtosis0.623039417
Mean-73.26251309
Median Absolute Deviation (MAD)30.945
Skewness-0.5120973464
Sum-27986.28
Variance2381.917657
MonotonicityNot monotonic
2022-03-24T10:34:52.609380image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-115.662
 
0.5%
-136.892
 
0.5%
-47.022
 
0.5%
-86.72
 
0.5%
-155.681
 
0.3%
-34.031
 
0.3%
-87.911
 
0.3%
-62.771
 
0.3%
-121.251
 
0.3%
Other values (358)358
93.7%
ValueCountFrequency (%)
-268.651
0.3%
-233.391
0.3%
-222.581
0.3%
-207.331
0.3%
-200.581
0.3%
ValueCountFrequency (%)
49.51
0.3%
44.481
0.3%
29.811
0.3%
28.121
0.3%
24.721
0.3%

政金债-合计.30
Real number (ℝ)

ZEROS

Distinct366
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.41649215
Minimum-48.93
Maximum120.89
Zeros13
Zeros (%)3.4%
Negative114
Negative (%)29.8%
Memory size3.1 KiB
2022-03-24T10:34:52.658403image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-48.93
5-th percentile-23.131
Q1-3.03
median10.27
Q326.0475
95-th percentile55.1045
Maximum120.89
Range169.82
Interquartile range (IQR)29.0775

Descriptive statistics

Standard deviation24.58662679
Coefficient of variation (CV)1.980158849
Kurtosis1.25106058
Mean12.41649215
Median Absolute Deviation (MAD)14.995
Skewness0.5176419025
Sum4743.1
Variance604.5022171
MonotonicityNot monotonic
2022-03-24T10:34:52.706206image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
34.672
 
0.5%
17.12
 
0.5%
13.292
 
0.5%
-7.812
 
0.5%
42.781
 
0.3%
6.191
 
0.3%
-22.461
 
0.3%
-24.261
 
0.3%
-3.831
 
0.3%
Other values (356)356
93.2%
ValueCountFrequency (%)
-48.931
0.3%
-46.531
0.3%
-43.441
0.3%
-42.91
0.3%
-42.61
0.3%
ValueCountFrequency (%)
120.891
0.3%
115.591
0.3%
80.631
0.3%
73.411
0.3%
72.81
0.3%

政金债-合计.31
Real number (ℝ)

ZEROS

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.39612565
Minimum-45.72
Maximum128.85
Zeros13
Zeros (%)3.4%
Negative76
Negative (%)19.9%
Memory size3.1 KiB
2022-03-24T10:34:53.067487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-45.72
5-th percentile-21.1595
Q12.77
median20.99
Q336.9975
95-th percentile68.925
Maximum128.85
Range174.57
Interquartile range (IQR)34.2275

Descriptive statistics

Standard deviation27.99276489
Coefficient of variation (CV)1.308309988
Kurtosis0.8453672388
Mean21.39612565
Median Absolute Deviation (MAD)17.255
Skewness0.4184943076
Sum8173.32
Variance783.5948863
MonotonicityNot monotonic
2022-03-24T10:34:53.114475image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-1.92
 
0.5%
16.812
 
0.5%
-38.412
 
0.5%
51.742
 
0.5%
23.992
 
0.5%
21.251
 
0.3%
-18.951
 
0.3%
-11.561
 
0.3%
21.341
 
0.3%
Other values (355)355
92.9%
ValueCountFrequency (%)
-45.721
0.3%
-45.71
0.3%
-44.341
0.3%
-41.571
0.3%
-39.91
0.3%
ValueCountFrequency (%)
128.851
0.3%
122.791
0.3%
112.411
0.3%
99.391
0.3%
96.491
0.3%

政金债-合计.32
Real number (ℝ)

ZEROS

Distinct364
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.0182199
Minimum-124.08
Maximum107.99
Zeros13
Zeros (%)3.4%
Negative98
Negative (%)25.7%
Memory size3.1 KiB
2022-03-24T10:34:53.164405image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-124.08
5-th percentile-26.6875
Q1-0.33
median11.17
Q324.07
95-th percentile53.291
Maximum107.99
Range232.07
Interquartile range (IQR)24.4

Descriptive statistics

Standard deviation25.03879866
Coefficient of variation (CV)2.083403272
Kurtosis3.813773393
Mean12.0182199
Median Absolute Deviation (MAD)12.05
Skewness-0.3463098242
Sum4590.96
Variance626.9414383
MonotonicityNot monotonic
2022-03-24T10:34:53.210418image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
14.792
 
0.5%
24.072
 
0.5%
34.792
 
0.5%
19.922
 
0.5%
29.362
 
0.5%
15.052
 
0.5%
42.861
 
0.3%
-8.461
 
0.3%
23.591
 
0.3%
Other values (354)354
92.7%
ValueCountFrequency (%)
-124.081
0.3%
-79.741
0.3%
-75.811
0.3%
-75.41
0.3%
-65.821
0.3%
ValueCountFrequency (%)
107.991
0.3%
104.031
0.3%
79.521
0.3%
75.281
0.3%
70.911
0.3%

政金债-合计.33
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.29277487
Minimum-53.84
Maximum197.06
Zeros13
Zeros (%)3.4%
Negative55
Negative (%)14.4%
Memory size3.1 KiB
2022-03-24T10:34:53.257063image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-53.84
5-th percentile-6.0445
Q11.8725
median7.36
Q316.035
95-th percentile50.6765
Maximum197.06
Range250.9
Interquartile range (IQR)14.1625

Descriptive statistics

Standard deviation21.88477515
Coefficient of variation (CV)1.780295774
Kurtosis21.31319346
Mean12.29277487
Median Absolute Deviation (MAD)6.335
Skewness3.485603235
Sum4695.84
Variance478.9433834
MonotonicityNot monotonic
2022-03-24T10:34:53.305610image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
5.533
 
0.8%
6.253
 
0.8%
6.942
 
0.5%
29.92
 
0.5%
1.442
 
0.5%
5.232
 
0.5%
18.292
 
0.5%
5.752
 
0.5%
5.472
 
0.5%
Other values (343)349
91.4%
ValueCountFrequency (%)
-53.841
0.3%
-37.621
0.3%
-25.51
0.3%
-22.971
0.3%
-22.761
0.3%
ValueCountFrequency (%)
197.061
0.3%
160.491
0.3%
120.531
0.3%
113.831
0.3%
86.71
0.3%

政金债-合计.34
Real number (ℝ)

ZEROS

Distinct368
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.96353403
Minimum-148.19
Maximum116.78
Zeros13
Zeros (%)3.4%
Negative115
Negative (%)30.1%
Memory size3.1 KiB
2022-03-24T10:34:53.353743image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-148.19
5-th percentile-67.752
Q1-6.2525
median12.3
Q334.3725
95-th percentile71.568
Maximum116.78
Range264.97
Interquartile range (IQR)40.625

Descriptive statistics

Standard deviation40.29428738
Coefficient of variation (CV)3.368092344
Kurtosis1.93667644
Mean11.96353403
Median Absolute Deviation (MAD)19.575
Skewness-0.6103883174
Sum4570.07
Variance1623.629596
MonotonicityNot monotonic
2022-03-24T10:34:53.402326image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
29.492
 
0.5%
9.312
 
0.5%
-44.451
 
0.3%
72.451
 
0.3%
-16.41
 
0.3%
12.381
 
0.3%
-20.111
 
0.3%
-2.491
 
0.3%
-3.791
 
0.3%
Other values (358)358
93.7%
ValueCountFrequency (%)
-148.191
0.3%
-140.81
0.3%
-122.141
0.3%
-120.091
0.3%
-112.181
0.3%
ValueCountFrequency (%)
116.781
0.3%
116.311
0.3%
116.221
0.3%
112.191
0.3%
107.721
0.3%

政金债-合计.35
Real number (ℝ)

ZEROS

Distinct34
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03031413613
Minimum-1.07
Maximum3.53
Zeros312
Zeros (%)81.7%
Negative56
Negative (%)14.7%
Memory size3.1 KiB
2022-03-24T10:34:53.446700image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.07
5-th percentile-0.4055
Q10
median0
Q30
95-th percentile0
Maximum3.53
Range4.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2613530426
Coefficient of variation (CV)-8.621490697
Kurtosis92.62546179
Mean-0.03031413613
Median Absolute Deviation (MAD)0
Skewness6.03726803
Sum-11.58
Variance0.06830541287
MonotonicityNot monotonic
2022-03-24T10:34:53.487800image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0312
81.7%
-0.28
 
2.1%
-0.216
 
1.6%
-0.36
 
1.6%
-0.15
 
1.3%
-0.224
 
1.0%
-0.113
 
0.8%
0.323
 
0.8%
-0.533
 
0.8%
0.312
 
0.5%
Other values (24)30
 
7.9%
ValueCountFrequency (%)
-1.071
0.3%
-1.011
0.3%
-0.961
0.3%
-0.861
0.3%
-0.81
0.3%
ValueCountFrequency (%)
3.531
0.3%
0.861
0.3%
0.841
0.3%
0.621
0.3%
0.531
0.3%

政金债-合计.36
Real number (ℝ)

ZEROS

Distinct102
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0142408377
Minimum-3.52
Maximum6.63
Zeros183
Zeros (%)47.9%
Negative109
Negative (%)28.5%
Memory size3.1 KiB
2022-03-24T10:34:53.532444image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.52
5-th percentile-0.9875
Q1-0.1
median0
Q30
95-th percentile1.029
Maximum6.63
Range10.15
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.7501088807
Coefficient of variation (CV)52.67308684
Kurtosis22.95979693
Mean0.0142408377
Median Absolute Deviation (MAD)0.1
Skewness2.323362613
Sum5.44
Variance0.5626633329
MonotonicityNot monotonic
2022-03-24T10:34:53.592986image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0183
47.9%
-0.117
 
4.5%
0.114
 
3.7%
-0.2113
 
3.4%
-0.27
 
1.8%
0.27
 
1.8%
0.216
 
1.6%
-0.316
 
1.6%
-0.515
 
1.3%
-0.114
 
1.0%
Other values (92)120
31.4%
ValueCountFrequency (%)
-3.521
0.3%
-2.692
0.5%
-2.111
0.3%
-1.881
0.3%
-1.771
0.3%
ValueCountFrequency (%)
6.631
0.3%
4.941
0.3%
3.051
0.3%
2.351
0.3%
2.31
0.3%

政金债-合计.37
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04070680628
Minimum-2.72
Maximum7.41
Zeros365
Zeros (%)95.5%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:53.638081image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7.41
Range10.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5422953771
Coefficient of variation (CV)13.3219829
Kurtosis137.333105
Mean0.04070680628
Median Absolute Deviation (MAD)0
Skewness10.55743734
Sum15.55
Variance0.294084276
MonotonicityNot monotonic
2022-03-24T10:34:53.673602image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0365
95.5%
0.23
 
0.8%
-0.941
 
0.3%
0.961
 
0.3%
1.691
 
0.3%
2.391
 
0.3%
0.51
 
0.3%
-0.21
 
0.3%
6.271
 
0.3%
-0.411
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-2.721
0.3%
-0.941
0.3%
-0.411
0.3%
-0.211
0.3%
-0.21
0.3%
ValueCountFrequency (%)
7.411
0.3%
6.271
0.3%
2.391
0.3%
1.691
0.3%
0.961
0.3%

政金债-合计.38
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001832460733
Minimum-0.7
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:53.706434image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03581511571
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.001832460733
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.7
Variance0.001282722513
MonotonicityNot monotonic
2022-03-24T10:34:53.737742image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.71
 
0.3%
ValueCountFrequency (%)
-0.71
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.71
 
0.3%

政金债-合计.39
Real number (ℝ)

ZEROS

Distinct368
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.11013089
Minimum-235.68
Maximum371.3
Zeros13
Zeros (%)3.4%
Negative74
Negative (%)19.4%
Memory size3.1 KiB
2022-03-24T10:34:53.784212image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-235.68
5-th percentile-87.2395
Q18.28
median75.89
Q3129.075
95-th percentile221.5975
Maximum371.3
Range606.98
Interquartile range (IQR)120.795

Descriptive statistics

Standard deviation89.95827727
Coefficient of variation (CV)1.283099548
Kurtosis0.647930709
Mean70.11013089
Median Absolute Deviation (MAD)58.905
Skewness-0.1398624635
Sum26782.07
Variance8092.49165
MonotonicityNot monotonic
2022-03-24T10:34:53.832040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
66.572
 
0.5%
112
 
0.5%
111.581
 
0.3%
-11.391
 
0.3%
29.521
 
0.3%
229.691
 
0.3%
15.871
 
0.3%
12.491
 
0.3%
-36.531
 
0.3%
Other values (358)358
93.7%
ValueCountFrequency (%)
-235.681
0.3%
-191.151
0.3%
-187.571
0.3%
-176.721
0.3%
-160.321
0.3%
ValueCountFrequency (%)
371.31
0.3%
337.021
0.3%
291.551
0.3%
282.481
0.3%
271.671
0.3%

政金债-合计.40
Real number (ℝ)

ZEROS

Distinct328
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1981937173
Minimum-18.8
Maximum19.53
Zeros13
Zeros (%)3.4%
Negative195
Negative (%)51.0%
Memory size3.1 KiB
2022-03-24T10:34:53.881258image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.8
5-th percentile-7.5795
Q1-2.8475
median-0.085
Q32.235
95-th percentile7.539
Maximum19.53
Range38.33
Interquartile range (IQR)5.0825

Descriptive statistics

Standard deviation4.907617854
Coefficient of variation (CV)-24.76172263
Kurtosis2.06841991
Mean-0.1981937173
Median Absolute Deviation (MAD)2.59
Skewness0.0377855098
Sum-75.71
Variance24.084713
MonotonicityNot monotonic
2022-03-24T10:34:53.931654image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-1.433
 
0.8%
-2.332
 
0.5%
1.12
 
0.5%
0.242
 
0.5%
-2.252
 
0.5%
0.622
 
0.5%
-0.242
 
0.5%
4.922
 
0.5%
-1.242
 
0.5%
Other values (318)350
91.6%
ValueCountFrequency (%)
-18.81
0.3%
-16.351
0.3%
-15.581
0.3%
-15.191
0.3%
-14.941
0.3%
ValueCountFrequency (%)
19.531
0.3%
17.051
0.3%
15.181
0.3%
12.611
0.3%
12.591
0.3%

政金债-合计.41
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8756020942
Minimum-27.96
Maximum22.98
Zeros12
Zeros (%)3.1%
Negative161
Negative (%)42.1%
Memory size3.1 KiB
2022-03-24T10:34:53.984312image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.96
5-th percentile-10.3805
Q1-3.1
median0.63
Q34.69
95-th percentile12.4575
Maximum22.98
Range50.94
Interquartile range (IQR)7.79

Descriptive statistics

Standard deviation6.790469972
Coefficient of variation (CV)7.755200698
Kurtosis1.471227821
Mean0.8756020942
Median Absolute Deviation (MAD)3.89
Skewness0.07851457035
Sum334.48
Variance46.11048244
MonotonicityNot monotonic
2022-03-24T10:34:54.035400image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
1.63
 
0.8%
0.193
 
0.8%
3.353
 
0.8%
2.182
 
0.5%
10.632
 
0.5%
4.72
 
0.5%
-0.142
 
0.5%
-2.532
 
0.5%
6.452
 
0.5%
Other values (328)349
91.4%
ValueCountFrequency (%)
-27.961
0.3%
-18.181
0.3%
-16.751
0.3%
-15.111
0.3%
-14.561
0.3%
ValueCountFrequency (%)
22.981
0.3%
21.511
0.3%
21.011
0.3%
20.691
0.3%
19.861
0.3%

政金债-合计.42
Real number (ℝ)

ZEROS

Distinct347
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02070680628
Minimum-104.9
Maximum27.97
Zeros12
Zeros (%)3.1%
Negative183
Negative (%)47.9%
Memory size3.1 KiB
2022-03-24T10:34:54.083550image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-104.9
5-th percentile-11.065
Q1-3.9925
median0
Q34.505
95-th percentile12.168
Maximum27.97
Range132.87
Interquartile range (IQR)8.4975

Descriptive statistics

Standard deviation8.996484485
Coefficient of variation (CV)434.4699208
Kurtosis48.34195158
Mean0.02070680628
Median Absolute Deviation (MAD)4.295
Skewness-4.173153916
Sum7.91
Variance80.93673309
MonotonicityNot monotonic
2022-03-24T10:34:54.133109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
3.724
 
1.0%
9.913
 
0.8%
8.713
 
0.8%
7.332
 
0.5%
0.642
 
0.5%
-2.782
 
0.5%
-8.292
 
0.5%
-4.932
 
0.5%
-1.012
 
0.5%
Other values (337)348
91.1%
ValueCountFrequency (%)
-104.91
0.3%
-34.371
0.3%
-23.781
0.3%
-19.431
0.3%
-16.961
0.3%
ValueCountFrequency (%)
27.971
0.3%
21.411
0.3%
19.951
0.3%
19.251
0.3%
17.811
0.3%

政金债-合计.43
Real number (ℝ)

ZEROS

Distinct287
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07455497382
Minimum-9.87
Maximum7.77
Zeros17
Zeros (%)4.5%
Negative187
Negative (%)49.0%
Memory size3.1 KiB
2022-03-24T10:34:54.183491image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.87
5-th percentile-3.439
Q1-0.9175
median0
Q30.8275
95-th percentile3.3895
Maximum7.77
Range17.64
Interquartile range (IQR)1.745

Descriptive statistics

Standard deviation2.100816411
Coefficient of variation (CV)-28.17808528
Kurtosis2.870452676
Mean-0.07455497382
Median Absolute Deviation (MAD)0.88
Skewness-0.2268164981
Sum-28.48
Variance4.413429591
MonotonicityNot monotonic
2022-03-24T10:34:54.230167image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
4.5%
-0.15
 
1.3%
-0.545
 
1.3%
-0.143
 
0.8%
0.343
 
0.8%
-0.633
 
0.8%
0.413
 
0.8%
0.113
 
0.8%
-0.323
 
0.8%
-0.193
 
0.8%
Other values (277)334
87.4%
ValueCountFrequency (%)
-9.871
0.3%
-7.081
0.3%
-6.671
0.3%
-6.531
0.3%
-6.491
0.3%
ValueCountFrequency (%)
7.771
0.3%
6.841
0.3%
6.771
0.3%
6.171
0.3%
5.691
0.3%

政金债-合计.44
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2040837696
Minimum-29.26
Maximum20.35
Zeros11
Zeros (%)2.9%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:34:54.280391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.26
5-th percentile-9.2255
Q1-3.2175
median0.235
Q33.93
95-th percentile9.2395
Maximum20.35
Range49.61
Interquartile range (IQR)7.1475

Descriptive statistics

Standard deviation6.159109258
Coefficient of variation (CV)30.17931935
Kurtosis1.925318536
Mean0.2040837696
Median Absolute Deviation (MAD)3.585
Skewness-0.3484418177
Sum77.96
Variance37.93462685
MonotonicityNot monotonic
2022-03-24T10:34:54.329871image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
4.673
 
0.8%
-8.562
 
0.5%
2.162
 
0.5%
-1.872
 
0.5%
1.642
 
0.5%
4.942
 
0.5%
-8.482
 
0.5%
3.122
 
0.5%
6.662
 
0.5%
Other values (339)352
92.1%
ValueCountFrequency (%)
-29.261
0.3%
-20.651
0.3%
-20.361
0.3%
-17.671
0.3%
-16.991
0.3%
ValueCountFrequency (%)
20.351
0.3%
17.721
0.3%
17.021
0.3%
16.011
0.3%
15.821
0.3%

政金债-合计.45
Real number (ℝ)

ZEROS

Distinct36
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01209424084
Minimum-2.67
Maximum2.05
Zeros329
Zeros (%)86.1%
Negative20
Negative (%)5.2%
Memory size3.1 KiB
2022-03-24T10:34:54.374959image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.67
5-th percentile-0.0095
Q10
median0
Q30
95-th percentile0.1
Maximum2.05
Range4.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2194680075
Coefficient of variation (CV)18.14648893
Kurtosis80.77555532
Mean0.01209424084
Median Absolute Deviation (MAD)0
Skewness-2.428146351
Sum4.62
Variance0.04816620632
MonotonicityNot monotonic
2022-03-24T10:34:54.419317image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0329
86.1%
0.536
 
1.6%
0.14
 
1.0%
-0.13
 
0.8%
0.013
 
0.8%
-0.012
 
0.5%
0.312
 
0.5%
0.032
 
0.5%
0.022
 
0.5%
-0.072
 
0.5%
Other values (26)27
 
7.1%
ValueCountFrequency (%)
-2.671
0.3%
-1.031
0.3%
-0.821
0.3%
-0.511
0.3%
-0.231
0.3%
ValueCountFrequency (%)
2.051
0.3%
1.031
0.3%
0.741
0.3%
0.641
0.3%
0.611
0.3%

政金债-合计.46
Real number (ℝ)

ZEROS

Distinct56
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005916230366
Minimum-5.13
Maximum6.24
Zeros255
Zeros (%)66.8%
Negative73
Negative (%)19.1%
Memory size3.1 KiB
2022-03-24T10:34:54.464632image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.13
5-th percentile-0.31
Q10
median0
Q30
95-th percentile0.2195
Maximum6.24
Range11.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5411837645
Coefficient of variation (CV)-91.47442391
Kurtosis72.63214707
Mean-0.005916230366
Median Absolute Deviation (MAD)0
Skewness1.970355717
Sum-2.26
Variance0.292879867
MonotonicityNot monotonic
2022-03-24T10:34:54.512932image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0255
66.8%
0.112
 
3.1%
-0.028
 
2.1%
-0.036
 
1.6%
-0.056
 
1.6%
-0.16
 
1.6%
0.215
 
1.3%
-0.215
 
1.3%
0.055
 
1.3%
0.314
 
1.0%
Other values (46)70
 
18.3%
ValueCountFrequency (%)
-5.131
0.3%
-2.521
0.3%
-2.251
0.3%
-1.641
0.3%
-1.491
0.3%
ValueCountFrequency (%)
6.241
0.3%
3.281
0.3%
1.851
0.3%
1.571
0.3%
1.191
0.3%

政金债-合计.47
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002879581152
Minimum-0.1
Maximum0.11
Zeros379
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:34:54.552114image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.11
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009174357252
Coefficient of variation (CV)31.86004064
Kurtosis126.7825963
Mean0.0002879581152
Median Absolute Deviation (MAD)0
Skewness4.453159009
Sum0.11
Variance8.416883099 × 10-5
MonotonicityNot monotonic
2022-03-24T10:34:54.581950image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0379
99.2%
0.111
 
0.3%
-0.11
 
0.3%
0.11
 
0.3%
ValueCountFrequency (%)
-0.11
 
0.3%
0379
99.2%
0.11
 
0.3%
0.111
 
0.3%
ValueCountFrequency (%)
0.111
 
0.3%
0.11
 
0.3%
0379
99.2%
-0.11
 
0.3%

政金债-合计.49
Real number (ℝ)

ZEROS

Distinct363
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8338219895
Minimum-83.33
Maximum48.83
Zeros11
Zeros (%)2.9%
Negative182
Negative (%)47.6%
Memory size3.1 KiB
2022-03-24T10:34:54.622722image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-83.33
5-th percentile-25.1285
Q1-7.4575
median0
Q310.4025
95-th percentile26.205
Maximum48.83
Range132.16
Interquartile range (IQR)17.86

Descriptive statistics

Standard deviation15.75863721
Coefficient of variation (CV)18.89928235
Kurtosis2.198186792
Mean0.8338219895
Median Absolute Deviation (MAD)9.11
Skewness-0.3707071294
Sum318.52
Variance248.3346468
MonotonicityNot monotonic
2022-03-24T10:34:54.673518image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
3.722
 
0.5%
-4.672
 
0.5%
31.942
 
0.5%
5.292
 
0.5%
22.52
 
0.5%
-4.582
 
0.5%
22
 
0.5%
20.532
 
0.5%
4.622
 
0.5%
Other values (353)353
92.4%
ValueCountFrequency (%)
-83.331
0.3%
-50.991
0.3%
-45.011
0.3%
-391
0.3%
-34.581
0.3%
ValueCountFrequency (%)
48.831
0.3%
44.611
0.3%
41.651
0.3%
39.71
0.3%
36.51
0.3%

政金债-合计.50
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.912591623
Minimum-32.82
Maximum25.13
Zeros14
Zeros (%)3.7%
Negative226
Negative (%)59.2%
Memory size3.1 KiB
2022-03-24T10:34:54.721628image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.82
5-th percentile-23.0885
Q1-7.2425
median-1.8
Q32.215
95-th percentile11.254
Maximum25.13
Range57.95
Interquartile range (IQR)9.4575

Descriptive statistics

Standard deviation9.70410273
Coefficient of variation (CV)-3.331775953
Kurtosis1.02198845
Mean-2.912591623
Median Absolute Deviation (MAD)4.68
Skewness-0.4630773605
Sum-1112.61
Variance94.1696098
MonotonicityNot monotonic
2022-03-24T10:34:54.765913image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
1.43
 
0.8%
-0.042
 
0.5%
-4.412
 
0.5%
-4.922
 
0.5%
0.452
 
0.5%
1.112
 
0.5%
-0.422
 
0.5%
-0.552
 
0.5%
9.952
 
0.5%
Other values (342)349
91.4%
ValueCountFrequency (%)
-32.821
0.3%
-32.151
0.3%
-31.481
0.3%
-29.931
0.3%
-29.61
0.3%
ValueCountFrequency (%)
25.131
0.3%
24.561
0.3%
21.141
0.3%
20.211
0.3%
19.91
0.3%

政金债-合计.51
Real number (ℝ)

ZEROS

Distinct341
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6080104712
Minimum-54.48
Maximum104.16
Zeros14
Zeros (%)3.7%
Negative214
Negative (%)56.0%
Memory size3.1 KiB
2022-03-24T10:34:54.813899image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-54.48
5-th percentile-13.0685
Q1-5.7775
median-0.875
Q33.1225
95-th percentile14.137
Maximum104.16
Range158.64
Interquartile range (IQR)8.9

Descriptive statistics

Standard deviation11.70280664
Coefficient of variation (CV)-19.24770574
Kurtosis22.26561351
Mean-0.6080104712
Median Absolute Deviation (MAD)4.46
Skewness2.523585325
Sum-232.26
Variance136.9556832
MonotonicityNot monotonic
2022-03-24T10:34:54.861785image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-0.893
 
0.8%
-5.873
 
0.8%
-5.363
 
0.8%
-3.582
 
0.5%
7.162
 
0.5%
-4.072
 
0.5%
-2.972
 
0.5%
0.192
 
0.5%
-6.552
 
0.5%
Other values (331)347
90.8%
ValueCountFrequency (%)
-54.481
0.3%
-49.181
0.3%
-31.341
0.3%
-28.981
0.3%
-27.521
0.3%
ValueCountFrequency (%)
104.161
0.3%
58.662
0.5%
48.851
0.3%
45.071
0.3%
28.871
0.3%

政金债-合计.52
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.484502618
Minimum-43.91
Maximum113.19
Zeros13
Zeros (%)3.4%
Negative192
Negative (%)50.3%
Memory size3.1 KiB
2022-03-24T10:34:54.912452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-43.91
5-th percentile-13.892
Q1-4.375
median-0.05
Q34.2575
95-th percentile21.1335
Maximum113.19
Range157.1
Interquartile range (IQR)8.6325

Descriptive statistics

Standard deviation13.14899286
Coefficient of variation (CV)8.857507359
Kurtosis21.06008599
Mean1.484502618
Median Absolute Deviation (MAD)4.33
Skewness3.240099198
Sum567.08
Variance172.8960133
MonotonicityNot monotonic
2022-03-24T10:34:54.962953image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
2.993
 
0.8%
1.863
 
0.8%
-3.462
 
0.5%
-9.482
 
0.5%
-15.912
 
0.5%
-0.22
 
0.5%
2.362
 
0.5%
-2.462
 
0.5%
0.582
 
0.5%
Other values (343)349
91.4%
ValueCountFrequency (%)
-43.911
0.3%
-27.431
0.3%
-22.491
0.3%
-20.461
0.3%
-19.691
0.3%
ValueCountFrequency (%)
113.191
0.3%
83.821
0.3%
79.041
0.3%
52.261
0.3%
44.171
0.3%

政金债-合计.53
Real number (ℝ)

ZEROS

Distinct305
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.110078534
Minimum-26.88
Maximum51.47
Zeros23
Zeros (%)6.0%
Negative184
Negative (%)48.2%
Memory size3.1 KiB
2022-03-24T10:34:55.013144image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.88
5-th percentile-8.4345
Q1-1.67
median0
Q32.06
95-th percentile7.358
Maximum51.47
Range78.35
Interquartile range (IQR)3.73

Descriptive statistics

Standard deviation5.907821431
Coefficient of variation (CV)53.66915069
Kurtosis19.2578404
Mean0.110078534
Median Absolute Deviation (MAD)1.835
Skewness1.497277312
Sum42.05
Variance34.90235406
MonotonicityNot monotonic
2022-03-24T10:34:55.062313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
 
6.0%
-2.584
 
1.0%
-0.454
 
1.0%
-0.523
 
0.8%
0.13
 
0.8%
-0.513
 
0.8%
-1.853
 
0.8%
-1.193
 
0.8%
1.142
 
0.5%
0.372
 
0.5%
Other values (295)332
86.9%
ValueCountFrequency (%)
-26.881
0.3%
-24.911
0.3%
-21.121
0.3%
-18.891
0.3%
-17.421
0.3%
ValueCountFrequency (%)
51.471
0.3%
30.961
0.3%
21.641
0.3%
18.051
0.3%
16.531
0.3%

政金债-合计.54
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.250418848
Minimum-31.4
Maximum45.68
Zeros11
Zeros (%)2.9%
Negative142
Negative (%)37.2%
Memory size3.1 KiB
2022-03-24T10:34:55.113238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-31.4
5-th percentile-14.324
Q1-2.445
median2.16
Q38.92
95-th percentile24.424
Maximum45.68
Range77.08
Interquartile range (IQR)11.365

Descriptive statistics

Standard deviation11.07672765
Coefficient of variation (CV)3.407784708
Kurtosis1.310597197
Mean3.250418848
Median Absolute Deviation (MAD)5.58
Skewness0.4556130946
Sum1241.66
Variance122.6938954
MonotonicityNot monotonic
2022-03-24T10:34:55.162235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
3.032
 
0.5%
9.882
 
0.5%
0.72
 
0.5%
-10.92
 
0.5%
1.652
 
0.5%
7.352
 
0.5%
-1.352
 
0.5%
9.122
 
0.5%
-0.462
 
0.5%
Other values (350)353
92.4%
ValueCountFrequency (%)
-31.41
0.3%
-28.751
0.3%
-24.751
0.3%
-22.811
0.3%
-21.291
0.3%
ValueCountFrequency (%)
45.681
0.3%
40.41
0.3%
37.731
0.3%
36.611
0.3%
34.71
0.3%

政金债-合计.55
Real number (ℝ)

ZEROS

Distinct24
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009397905759
Minimum-0.5
Maximum1.03
Zeros355
Zeros (%)92.9%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:55.208999image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.03
Range1.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09541402416
Coefficient of variation (CV)10.15269004
Kurtosis51.61909654
Mean0.009397905759
Median Absolute Deviation (MAD)0
Skewness5.448685695
Sum3.59
Variance0.009103836006
MonotonicityNot monotonic
2022-03-24T10:34:55.247043image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0355
92.9%
0.412
 
0.5%
0.052
 
0.5%
0.12
 
0.5%
-0.042
 
0.5%
0.211
 
0.3%
-0.211
 
0.3%
-0.11
 
0.3%
-0.311
 
0.3%
0.311
 
0.3%
Other values (14)14
 
3.7%
ValueCountFrequency (%)
-0.51
0.3%
-0.311
0.3%
-0.31
0.3%
-0.211
0.3%
-0.131
0.3%
ValueCountFrequency (%)
1.031
0.3%
0.721
0.3%
0.541
0.3%
0.511
0.3%
0.51
0.3%

政金债-合计.56
Real number (ℝ)

ZEROS

Distinct55
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01426701571
Minimum-4.39
Maximum5.64
Zeros289
Zeros (%)75.7%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:34:55.293465image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.39
5-th percentile-0.5075
Q10
median0
Q30
95-th percentile0.2955
Maximum5.64
Range10.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6185928167
Coefficient of variation (CV)-43.3582488
Kurtosis45.82575231
Mean-0.01426701571
Median Absolute Deviation (MAD)0
Skewness2.510108494
Sum-5.45
Variance0.3826570729
MonotonicityNot monotonic
2022-03-24T10:34:55.342521image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0289
75.7%
-0.19
 
2.4%
-0.214
 
1.0%
-0.034
 
1.0%
0.314
 
1.0%
0.214
 
1.0%
-0.024
 
1.0%
0.33
 
0.8%
0.13
 
0.8%
0.053
 
0.8%
Other values (45)55
 
14.4%
ValueCountFrequency (%)
-4.391
0.3%
-2.861
0.3%
-2.692
0.5%
-2.491
0.3%
-1.831
0.3%
ValueCountFrequency (%)
5.641
0.3%
5.51
0.3%
3.331
0.3%
1.571
0.3%
1.531
0.3%

政金债-合计.57
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006439790576
Minimum-1.42
Maximum0
Zeros380
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:55.379674image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.42
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.089942503
Coefficient of variation (CV)-13.96668136
Kurtosis206.1419277
Mean-0.006439790576
Median Absolute Deviation (MAD)0
Skewness-14.24581011
Sum-2.46
Variance0.008089653846
MonotonicityNot monotonic
2022-03-24T10:34:55.409171image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
-1.421
 
0.3%
-1.041
 
0.3%
ValueCountFrequency (%)
-1.421
 
0.3%
-1.041
 
0.3%
0380
99.5%
ValueCountFrequency (%)
0380
99.5%
-1.041
 
0.3%
-1.421
 
0.3%

政金债-合计.59
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.312748691
Minimum-103.08
Maximum159.56
Zeros11
Zeros (%)2.9%
Negative192
Negative (%)50.3%
Memory size3.1 KiB
2022-03-24T10:34:55.452677image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-103.08
5-th percentile-36.131
Q1-14.08
median-0.18
Q313.1525
95-th percentile42.6465
Maximum159.56
Range262.64
Interquartile range (IQR)27.2325

Descriptive statistics

Standard deviation26.75529142
Coefficient of variation (CV)20.38112215
Kurtosis6.485857126
Mean1.312748691
Median Absolute Deviation (MAD)13.77
Skewness1.373353863
Sum501.47
Variance715.8456189
MonotonicityNot monotonic
2022-03-24T10:34:55.502905image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
2.022
 
0.5%
-11.612
 
0.5%
-19.032
 
0.5%
19.012
 
0.5%
-8.542
 
0.5%
19.932
 
0.5%
-14.582
 
0.5%
-24.782
 
0.5%
-1.182
 
0.5%
Other values (352)353
92.4%
ValueCountFrequency (%)
-103.081
0.3%
-53.081
0.3%
-48.481
0.3%
-48.111
0.3%
-47.481
0.3%
ValueCountFrequency (%)
159.561
0.3%
143.291
0.3%
126.71
0.3%
91.381
0.3%
83.41
0.3%

政金债-合计.60
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22602094
Minimum-90.69
Maximum96.5
Zeros11
Zeros (%)2.9%
Negative53
Negative (%)13.9%
Memory size3.1 KiB
2022-03-24T10:34:55.552567image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-90.69
5-th percentile-8.571
Q12.86
median10.175
Q318.9875
95-th percentile34.6565
Maximum96.5
Range187.19
Interquartile range (IQR)16.1275

Descriptive statistics

Standard deviation15.64476526
Coefficient of variation (CV)1.393616255
Kurtosis8.840121963
Mean11.22602094
Median Absolute Deviation (MAD)8.04
Skewness-0.2036509127
Sum4288.34
Variance244.7586802
MonotonicityNot monotonic
2022-03-24T10:34:55.600549image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
8.273
 
0.8%
3.662
 
0.5%
16.282
 
0.5%
11.452
 
0.5%
10.772
 
0.5%
6.352
 
0.5%
6.932
 
0.5%
-0.112
 
0.5%
2.982
 
0.5%
Other values (352)352
92.1%
ValueCountFrequency (%)
-90.691
0.3%
-65.871
0.3%
-43.381
0.3%
-29.391
0.3%
-25.951
0.3%
ValueCountFrequency (%)
96.51
0.3%
70.621
0.3%
60.571
0.3%
60.281
0.3%
55.61
0.3%

政金债-合计.61
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.789921466
Minimum-107.98
Maximum105.45
Zeros11
Zeros (%)2.9%
Negative127
Negative (%)33.2%
Memory size3.1 KiB
2022-03-24T10:34:55.650646image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-107.98
5-th percentile-21.5965
Q1-1.27
median2.525
Q39.5625
95-th percentile25.704
Maximum105.45
Range213.43
Interquartile range (IQR)10.8325

Descriptive statistics

Standard deviation18.81752527
Coefficient of variation (CV)4.965149131
Kurtosis9.833790135
Mean3.789921466
Median Absolute Deviation (MAD)5.075
Skewness0.2839801352
Sum1447.75
Variance354.0992575
MonotonicityNot monotonic
2022-03-24T10:34:55.695863image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
2.433
 
0.8%
0.33
 
0.8%
-0.12
 
0.5%
1.542
 
0.5%
1.032
 
0.5%
7.872
 
0.5%
15.812
 
0.5%
4.872
 
0.5%
8.212
 
0.5%
Other values (339)351
91.9%
ValueCountFrequency (%)
-107.981
0.3%
-68.881
0.3%
-64.931
0.3%
-58.681
0.3%
-51.491
0.3%
ValueCountFrequency (%)
105.451
0.3%
97.181
0.3%
79.431
0.3%
75.161
0.3%
67.691
0.3%

政金债-合计.62
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.461884817
Minimum-38.5
Maximum54.58
Zeros13
Zeros (%)3.4%
Negative198
Negative (%)51.8%
Memory size3.1 KiB
2022-03-24T10:34:55.745043image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.5
5-th percentile-20.3295
Q1-5.9925
median-0.58
Q33.645
95-th percentile13.3365
Maximum54.58
Range93.08
Interquartile range (IQR)9.6375

Descriptive statistics

Standard deviation10.10659404
Coefficient of variation (CV)-6.913399693
Kurtosis3.508772227
Mean-1.461884817
Median Absolute Deviation (MAD)4.8
Skewness0.1216287509
Sum-558.44
Variance102.1432432
MonotonicityNot monotonic
2022-03-24T10:34:55.792683image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
0.23
 
0.8%
-1.712
 
0.5%
1.812
 
0.5%
-3.512
 
0.5%
4.342
 
0.5%
-12
 
0.5%
-2.792
 
0.5%
-3.542
 
0.5%
-4.462
 
0.5%
Other values (335)350
91.6%
ValueCountFrequency (%)
-38.51
0.3%
-33.941
0.3%
-29.31
0.3%
-29.261
0.3%
-27.751
0.3%
ValueCountFrequency (%)
54.581
0.3%
33.261
0.3%
29.271
0.3%
28.191
0.3%
25.631
0.3%

政金债-合计.63
Real number (ℝ)

ZEROS

Distinct321
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.504057592
Minimum-37.6
Maximum18.62
Zeros27
Zeros (%)7.1%
Negative241
Negative (%)63.1%
Memory size3.1 KiB
2022-03-24T10:34:55.838988image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.6
5-th percentile-17.308
Q1-5.5775
median-1.04
Q30.3625
95-th percentile9.277
Maximum18.62
Range56.22
Interquartile range (IQR)5.94

Descriptive statistics

Standard deviation7.917075306
Coefficient of variation (CV)-3.16169857
Kurtosis3.025460664
Mean-2.504057592
Median Absolute Deviation (MAD)2.705
Skewness-1.033216592
Sum-956.55
Variance62.68008139
MonotonicityNot monotonic
2022-03-24T10:34:56.193099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
7.1%
-0.323
 
0.8%
-0.823
 
0.8%
0.53
 
0.8%
-0.513
 
0.8%
-0.413
 
0.8%
-0.23
 
0.8%
-0.013
 
0.8%
-1.443
 
0.8%
-112
 
0.5%
Other values (311)329
86.1%
ValueCountFrequency (%)
-37.61
0.3%
-36.21
0.3%
-33.281
0.3%
-30.41
0.3%
-28.821
0.3%
ValueCountFrequency (%)
18.621
0.3%
18.391
0.3%
16.391
0.3%
15.421
0.3%
15.031
0.3%

政金债-合计.64
Real number (ℝ)

ZEROS

Distinct354
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6994764398
Minimum-41.96
Maximum56.66
Zeros11
Zeros (%)2.9%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:34:56.245834image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-41.96
5-th percentile-22.513
Q1-7.305
median0
Q36.17
95-th percentile20.5635
Maximum56.66
Range98.62
Interquartile range (IQR)13.475

Descriptive statistics

Standard deviation12.69043866
Coefficient of variation (CV)-18.14276784
Kurtosis1.456564673
Mean-0.6994764398
Median Absolute Deviation (MAD)6.86
Skewness-0.06783917833
Sum-267.2
Variance161.0472333
MonotonicityNot monotonic
2022-03-24T10:34:56.294611image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
1.122
 
0.5%
-0.22
 
0.5%
5.442
 
0.5%
-13.52
 
0.5%
-4.662
 
0.5%
1.362
 
0.5%
2.682
 
0.5%
-2.682
 
0.5%
3.382
 
0.5%
Other values (344)353
92.4%
ValueCountFrequency (%)
-41.961
0.3%
-41.711
0.3%
-39.241
0.3%
-35.241
0.3%
-33.221
0.3%
ValueCountFrequency (%)
56.661
0.3%
31.751
0.3%
31.471
0.3%
28.971
0.3%
26.381
0.3%

政金债-合计.65
Real number (ℝ)

ZEROS

Distinct19
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004790575916
Minimum-4.26
Maximum2.16
Zeros363
Zeros (%)95.0%
Negative7
Negative (%)1.8%
Memory size3.1 KiB
2022-03-24T10:34:56.336657image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.26
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.16
Range6.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3679428991
Coefficient of variation (CV)-76.80556692
Kurtosis77.34591959
Mean-0.004790575916
Median Absolute Deviation (MAD)0
Skewness-5.715004192
Sum-1.83
Variance0.135381977
MonotonicityNot monotonic
2022-03-24T10:34:56.374173image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0363
95.0%
0.212
 
0.5%
0.561
 
0.3%
-2.181
 
0.3%
-0.411
 
0.3%
2.161
 
0.3%
-0.21
 
0.3%
-1.121
 
0.3%
0.21
 
0.3%
-3.531
 
0.3%
Other values (9)9
 
2.4%
ValueCountFrequency (%)
-4.261
0.3%
-3.531
0.3%
-2.181
0.3%
-1.121
0.3%
-0.541
0.3%
ValueCountFrequency (%)
2.161
0.3%
1.941
0.3%
1.51
0.3%
1.41
0.3%
0.861
0.3%

政金债-合计.66
Real number (ℝ)

ZEROS

Distinct59
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07971204188
Minimum-2.95
Maximum6.46
Zeros295
Zeros (%)77.2%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:34:56.420251image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.95
5-th percentile-0.405
Q10
median0
Q30
95-th percentile1.04
Maximum6.46
Range9.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6634192594
Coefficient of variation (CV)8.322698098
Kurtosis30.51971594
Mean0.07971204188
Median Absolute Deviation (MAD)0
Skewness3.447951204
Sum30.45
Variance0.4401251137
MonotonicityNot monotonic
2022-03-24T10:34:56.469756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0295
77.2%
-0.122
 
5.8%
0.213
 
0.8%
1.022
 
0.5%
-0.522
 
0.5%
0.512
 
0.5%
1.042
 
0.5%
-0.422
 
0.5%
0.12
 
0.5%
1.251
 
0.3%
Other values (49)49
 
12.8%
ValueCountFrequency (%)
-2.951
0.3%
-2.851
0.3%
-1.721
0.3%
-1.581
0.3%
-1.541
0.3%
ValueCountFrequency (%)
6.461
0.3%
3.971
0.3%
3.351
0.3%
2.91
0.3%
2.621
0.3%

政金债-合计.67
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005497382199
Minimum0
Maximum0.21
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:56.508471image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.21
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01074453471
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0005497382199
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.21
Variance0.0001154450262
MonotonicityNot monotonic
2022-03-24T10:34:56.538388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.211
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.211
 
0.3%
ValueCountFrequency (%)
0.211
 
0.3%
0381
99.7%

政金债-合计.69
Real number (ℝ)

ZEROS

Distinct366
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.42596859
Minimum-157.4
Maximum141.63
Zeros11
Zeros (%)2.9%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:34:56.578823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-157.4
5-th percentile-42.831
Q1-9.0325
median7.725
Q329.6225
95-th percentile72.1735
Maximum141.63
Range299.03
Interquartile range (IQR)38.655

Descriptive statistics

Standard deviation35.45143671
Coefficient of variation (CV)3.400301508
Kurtosis2.16717568
Mean10.42596859
Median Absolute Deviation (MAD)19.135
Skewness-0.0009932192254
Sum3982.72
Variance1256.804365
MonotonicityNot monotonic
2022-03-24T10:34:56.622468image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
10.62
 
0.5%
-0.482
 
0.5%
42.552
 
0.5%
27.962
 
0.5%
82.182
 
0.5%
28.222
 
0.5%
-7.111
 
0.3%
9.051
 
0.3%
23.841
 
0.3%
Other values (356)356
93.2%
ValueCountFrequency (%)
-157.41
0.3%
-101.561
0.3%
-99.391
0.3%
-92.741
0.3%
-75.191
0.3%
ValueCountFrequency (%)
141.631
0.3%
135.351
0.3%
117.21
0.3%
103.581
0.3%
102.61
0.3%

政金债-合计.70
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.970183246
Minimum-47.12
Maximum26
Zeros13
Zeros (%)3.4%
Negative309
Negative (%)80.9%
Memory size3.1 KiB
2022-03-24T10:34:56.671314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-47.12
5-th percentile-26.1685
Q1-13.39
median-6.38
Q3-1.3875
95-th percentile6.153
Maximum26
Range73.12
Interquartile range (IQR)12.0025

Descriptive statistics

Standard deviation9.804049954
Coefficient of variation (CV)-1.230090909
Kurtosis1.318085262
Mean-7.970183246
Median Absolute Deviation (MAD)5.535
Skewness-0.6130979212
Sum-3044.61
Variance96.1193955
MonotonicityNot monotonic
2022-03-24T10:34:56.717715image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-13.513
 
0.8%
-3.623
 
0.8%
-8.143
 
0.8%
-1.512
 
0.5%
0.32
 
0.5%
-11.062
 
0.5%
-13.822
 
0.5%
-6.922
 
0.5%
-52
 
0.5%
Other values (341)348
91.1%
ValueCountFrequency (%)
-47.121
0.3%
-43.211
0.3%
-38.691
0.3%
-35.392
0.5%
-35.141
0.3%
ValueCountFrequency (%)
261
0.3%
21.171
0.3%
12.521
0.3%
11.811
0.3%
11.291
0.3%

政金债-合计.71
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.786099476
Minimum-52.11
Maximum33.92
Zeros11
Zeros (%)2.9%
Negative293
Negative (%)76.7%
Memory size3.1 KiB
2022-03-24T10:34:56.767524image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-52.11
5-th percentile-25.058
Q1-12.15
median-5.36
Q3-0.54
95-th percentile9.5
Maximum33.92
Range86.03
Interquartile range (IQR)11.61

Descriptive statistics

Standard deviation11.0858042
Coefficient of variation (CV)-1.63360473
Kurtosis2.764854645
Mean-6.786099476
Median Absolute Deviation (MAD)5.36
Skewness-0.7263568108
Sum-2592.29
Variance122.8950548
MonotonicityNot monotonic
2022-03-24T10:34:56.811813image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-5.943
 
0.8%
-0.262
 
0.5%
9.52
 
0.5%
-2.642
 
0.5%
-2.732
 
0.5%
-14.482
 
0.5%
-11.762
 
0.5%
-6.72
 
0.5%
-4.062
 
0.5%
Other values (346)352
92.1%
ValueCountFrequency (%)
-52.111
0.3%
-50.61
0.3%
-46.781
0.3%
-46.271
0.3%
-44.71
0.3%
ValueCountFrequency (%)
33.921
0.3%
28.191
0.3%
19.721
0.3%
19.431
0.3%
17.351
0.3%

政金债-合计.72
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.074973822
Minimum-74.7
Maximum78.54
Zeros11
Zeros (%)2.9%
Negative264
Negative (%)69.1%
Memory size3.1 KiB
2022-03-24T10:34:56.857947image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.7
5-th percentile-28.2395
Q1-12.4425
median-4.845
Q30.995
95-th percentile12.5695
Maximum78.54
Range153.24
Interquartile range (IQR)13.4375

Descriptive statistics

Standard deviation13.89438956
Coefficient of variation (CV)-2.28715217
Kurtosis5.11634692
Mean-6.074973822
Median Absolute Deviation (MAD)7.065
Skewness-0.1203687085
Sum-2320.64
Variance193.0540613
MonotonicityNot monotonic
2022-03-24T10:34:56.903701image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-3.042
 
0.5%
-11.892
 
0.5%
4.732
 
0.5%
-3.582
 
0.5%
10.992
 
0.5%
-8.642
 
0.5%
9.072
 
0.5%
-1.062
 
0.5%
-9.92
 
0.5%
Other values (342)353
92.4%
ValueCountFrequency (%)
-74.71
0.3%
-53.761
0.3%
-49.131
0.3%
-48.911
0.3%
-44.341
0.3%
ValueCountFrequency (%)
78.541
0.3%
28.91
0.3%
28.331
0.3%
27.071
0.3%
23.371
0.3%

政金债-合计.73
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.988246073
Minimum-72.58
Maximum48.31
Zeros12
Zeros (%)3.1%
Negative211
Negative (%)55.2%
Memory size3.1 KiB
2022-03-24T10:34:56.953238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-72.58
5-th percentile-26.668
Q1-6.495
median-0.625
Q32.635
95-th percentile14.74
Maximum48.31
Range120.89
Interquartile range (IQR)9.13

Descriptive statistics

Standard deviation14.02412319
Coefficient of variation (CV)-4.693095163
Kurtosis5.973399148
Mean-2.988246073
Median Absolute Deviation (MAD)4.535
Skewness-1.321065966
Sum-1141.51
Variance196.6760313
MonotonicityNot monotonic
2022-03-24T10:34:57.005563image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.313
 
0.8%
0.382
 
0.5%
1.762
 
0.5%
-14.32
 
0.5%
-10.72
 
0.5%
2.022
 
0.5%
4.642
 
0.5%
-1.812
 
0.5%
-5.42
 
0.5%
Other values (343)351
91.9%
ValueCountFrequency (%)
-72.581
0.3%
-67.451
0.3%
-611
0.3%
-60.071
0.3%
-59.881
0.3%
ValueCountFrequency (%)
48.311
0.3%
43.391
0.3%
35.511
0.3%
33.881
0.3%
32.241
0.3%

政金债-合计.74
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.205732984
Minimum-92.43
Maximum61.97
Zeros11
Zeros (%)2.9%
Negative278
Negative (%)72.8%
Memory size3.1 KiB
2022-03-24T10:34:57.055960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-92.43
5-th percentile-35.8375
Q1-19.4175
median-7.35
Q30
95-th percentile14.6195
Maximum61.97
Range154.4
Interquartile range (IQR)19.4175

Descriptive statistics

Standard deviation17.46706226
Coefficient of variation (CV)-1.897411351
Kurtosis3.134084267
Mean-9.205732984
Median Absolute Deviation (MAD)9.045
Skewness-0.2804718912
Sum-3516.59
Variance305.0982639
MonotonicityNot monotonic
2022-03-24T10:34:57.103485image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-1.392
 
0.5%
17.72
 
0.5%
-6.182
 
0.5%
-6.42
 
0.5%
6.932
 
0.5%
-14.872
 
0.5%
-23.782
 
0.5%
-3.412
 
0.5%
3.692
 
0.5%
Other values (352)353
92.4%
ValueCountFrequency (%)
-92.431
0.3%
-79.561
0.3%
-59.551
0.3%
-57.81
0.3%
-56.711
0.3%
ValueCountFrequency (%)
61.971
0.3%
54.041
0.3%
46.251
0.3%
38.341
0.3%
35.91
0.3%

政金债-合计.75
Real number (ℝ)

ZEROS

Distinct47
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02910994764
Minimum-5.09
Maximum4.55
Zeros308
Zeros (%)80.6%
Negative45
Negative (%)11.8%
Memory size3.1 KiB
2022-03-24T10:34:57.155275image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.09
5-th percentile-0.53
Q10
median0
Q30
95-th percentile0.31
Maximum4.55
Range9.64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.482054596
Coefficient of variation (CV)-16.55978918
Kurtosis57.25642458
Mean-0.02910994764
Median Absolute Deviation (MAD)0
Skewness-1.129400557
Sum-11.12
Variance0.2323766335
MonotonicityNot monotonic
2022-03-24T10:34:57.201036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0308
80.6%
-0.537
 
1.8%
0.316
 
1.6%
-0.314
 
1.0%
0.13
 
0.8%
-0.13
 
0.8%
0.542
 
0.5%
-0.412
 
0.5%
0.22
 
0.5%
-0.52
 
0.5%
Other values (37)43
 
11.3%
ValueCountFrequency (%)
-5.091
0.3%
-2.561
0.3%
-2.051
0.3%
-1.911
0.3%
-1.241
0.3%
ValueCountFrequency (%)
4.551
0.3%
2.391
0.3%
1.571
0.3%
1.31
0.3%
1.051
0.3%

政金债-合计.76
Real number (ℝ)

ZEROS

Distinct140
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2043193717
Minimum-9.83
Maximum3.9
Zeros149
Zeros (%)39.0%
Negative145
Negative (%)38.0%
Memory size3.1 KiB
2022-03-24T10:34:57.247012image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.83
5-th percentile-1.969
Q1-0.4075
median0
Q30
95-th percentile1.2595
Maximum3.9
Range13.73
Interquartile range (IQR)0.4075

Descriptive statistics

Standard deviation1.126287858
Coefficient of variation (CV)-5.512389003
Kurtosis17.39211854
Mean-0.2043193717
Median Absolute Deviation (MAD)0.21
Skewness-2.315987973
Sum-78.05
Variance1.268524339
MonotonicityNot monotonic
2022-03-24T10:34:57.294977image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0149
39.0%
-0.115
 
3.9%
-0.319
 
2.4%
0.218
 
2.1%
-0.517
 
1.8%
-0.25
 
1.3%
-0.215
 
1.3%
0.325
 
1.3%
0.15
 
1.3%
-0.535
 
1.3%
Other values (130)169
44.2%
ValueCountFrequency (%)
-9.831
0.3%
-5.381
0.3%
-5.061
0.3%
-4.481
0.3%
-4.071
0.3%
ValueCountFrequency (%)
3.91
0.3%
3.611
0.3%
3.51
0.3%
2.841
0.3%
2.61
0.3%

政金债-合计.77
Real number (ℝ)

ZEROS

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06581151832
Minimum-6.57
Maximum0.58
Zeros373
Zeros (%)97.6%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:34:57.336890image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.57
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.58
Range7.15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5925515325
Coefficient of variation (CV)-9.003766326
Kurtosis84.30838498
Mean-0.06581151832
Median Absolute Deviation (MAD)0
Skewness-9.025053188
Sum-25.14
Variance0.3511173187
MonotonicityNot monotonic
2022-03-24T10:34:57.370823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0373
97.6%
0.581
 
0.3%
-6.071
 
0.3%
-4.891
 
0.3%
-1.31
 
0.3%
-6.571
 
0.3%
0.211
 
0.3%
0.521
 
0.3%
-3.551
 
0.3%
-4.071
 
0.3%
ValueCountFrequency (%)
-6.571
0.3%
-6.071
0.3%
-4.891
0.3%
-4.071
0.3%
-3.551
0.3%
ValueCountFrequency (%)
0.581
 
0.3%
0.521
 
0.3%
0.211
 
0.3%
0373
97.6%
-1.31
 
0.3%

政金债-合计.79
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-33.32486911
Minimum-157.04
Maximum94.73
Zeros11
Zeros (%)2.9%
Negative320
Negative (%)83.8%
Memory size3.1 KiB
2022-03-24T10:34:57.413696image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-157.04
5-th percentile-94.802
Q1-51.76
median-30.795
Q3-9.21
95-th percentile21.429
Maximum94.73
Range251.77
Interquartile range (IQR)42.55

Descriptive statistics

Standard deviation35.71858623
Coefficient of variation (CV)-1.071829753
Kurtosis1.162460264
Mean-33.32486911
Median Absolute Deviation (MAD)21.14
Skewness-0.286829689
Sum-12730.1
Variance1275.817402
MonotonicityNot monotonic
2022-03-24T10:34:57.462143image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-107.962
 
0.5%
-26.292
 
0.5%
-21.392
 
0.5%
-24.922
 
0.5%
-58.32
 
0.5%
-73.971
 
0.3%
-19.241
 
0.3%
-28.751
 
0.3%
13.251
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-157.041
0.3%
-156.711
0.3%
-147.671
0.3%
-140.691
0.3%
-133.541
0.3%
ValueCountFrequency (%)
94.731
0.3%
66.091
0.3%
64.951
0.3%
54.891
0.3%
49.291
0.3%

政金债-合计.80
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.446963351
Minimum-85.07
Maximum34.07
Zeros13
Zeros (%)3.4%
Negative257
Negative (%)67.3%
Memory size3.1 KiB
2022-03-24T10:34:57.510472image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-85.07
5-th percentile-27.6425
Q1-14.32
median-6.055
Q31.5625
95-th percentile14.8965
Maximum34.07
Range119.14
Interquartile range (IQR)15.8825

Descriptive statistics

Standard deviation14.18361763
Coefficient of variation (CV)-2.200046264
Kurtosis4.304616046
Mean-6.446963351
Median Absolute Deviation (MAD)7.805
Skewness-0.8114860188
Sum-2462.74
Variance201.1750091
MonotonicityNot monotonic
2022-03-24T10:34:57.559978image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
1.482
 
0.5%
-7.222
 
0.5%
-11.112
 
0.5%
10.462
 
0.5%
2.952
 
0.5%
1.62
 
0.5%
-10.132
 
0.5%
-11.392
 
0.5%
-14.322
 
0.5%
Other values (342)351
91.9%
ValueCountFrequency (%)
-85.071
0.3%
-73.511
0.3%
-73.161
0.3%
-37.71
0.3%
-37.411
0.3%
ValueCountFrequency (%)
34.071
0.3%
33.781
0.3%
32.391
0.3%
29.721
0.3%
25.371
0.3%

政金债-合计.81
Real number (ℝ)

ZEROS

Distinct363
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.154240838
Minimum-63.53
Maximum42.23
Zeros12
Zeros (%)3.1%
Negative226
Negative (%)59.2%
Memory size3.1 KiB
2022-03-24T10:34:57.613220image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.53
5-th percentile-30.4175
Q1-13.605
median-3.155
Q35.605
95-th percentile21.6495
Maximum42.23
Range105.76
Interquartile range (IQR)19.21

Descriptive statistics

Standard deviation16.08498117
Coefficient of variation (CV)-3.871942383
Kurtosis0.5737943606
Mean-4.154240838
Median Absolute Deviation (MAD)9.995
Skewness-0.2752423658
Sum-1586.92
Variance258.7266192
MonotonicityNot monotonic
2022-03-24T10:34:57.663243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-11.322
 
0.5%
-9.532
 
0.5%
-14.652
 
0.5%
14.732
 
0.5%
-2.022
 
0.5%
-5.92
 
0.5%
-4.372
 
0.5%
-5.132
 
0.5%
-5.181
 
0.3%
Other values (353)353
92.4%
ValueCountFrequency (%)
-63.531
0.3%
-53.491
0.3%
-46.941
0.3%
-46.341
0.3%
-46.121
0.3%
ValueCountFrequency (%)
42.231
0.3%
41.181
0.3%
35.731
0.3%
31.811
0.3%
30.711
0.3%

政金债-合计.82
Real number (ℝ)

ZEROS

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.08960733
Minimum-63.59
Maximum61.64
Zeros11
Zeros (%)2.9%
Negative234
Negative (%)61.3%
Memory size3.1 KiB
2022-03-24T10:34:57.711470image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.59
5-th percentile-29.3345
Q1-11.99
median-3
Q33.865
95-th percentile20.9255
Maximum61.64
Range125.23
Interquartile range (IQR)15.855

Descriptive statistics

Standard deviation15.22675841
Coefficient of variation (CV)-3.72328128
Kurtosis1.70286726
Mean-4.08960733
Median Absolute Deviation (MAD)8.42
Skewness-0.1035986139
Sum-1562.23
Variance231.8541718
MonotonicityNot monotonic
2022-03-24T10:34:57.761919image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-7.812
 
0.5%
7.372
 
0.5%
-8.892
 
0.5%
-12.282
 
0.5%
-11.742
 
0.5%
-11.432
 
0.5%
-2.772
 
0.5%
-2.192
 
0.5%
-6.442
 
0.5%
Other values (352)353
92.4%
ValueCountFrequency (%)
-63.591
0.3%
-56.81
0.3%
-53.341
0.3%
-43.371
0.3%
-40.031
0.3%
ValueCountFrequency (%)
61.641
0.3%
36.831
0.3%
33.651
0.3%
33.61
0.3%
31.871
0.3%

政金债-合计.83
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.603115183
Minimum-49.12
Maximum59.37
Zeros13
Zeros (%)3.4%
Negative208
Negative (%)54.5%
Memory size3.1 KiB
2022-03-24T10:34:57.812098image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.12
5-th percentile-18.323
Q1-6.47
median-0.945
Q32.77
95-th percentile14.8945
Maximum59.37
Range108.49
Interquartile range (IQR)9.24

Descriptive statistics

Standard deviation10.85058272
Coefficient of variation (CV)-6.768436126
Kurtosis4.829860772
Mean-1.603115183
Median Absolute Deviation (MAD)4.65
Skewness0.251125204
Sum-612.39
Variance117.7351454
MonotonicityNot monotonic
2022-03-24T10:34:57.860016image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
1.833
 
0.8%
9.522
 
0.5%
0.552
 
0.5%
2.542
 
0.5%
2.772
 
0.5%
9.622
 
0.5%
-5.292
 
0.5%
1.272
 
0.5%
-4.492
 
0.5%
Other values (341)350
91.6%
ValueCountFrequency (%)
-49.121
0.3%
-39.181
0.3%
-37.581
0.3%
-34.291
0.3%
-33.51
0.3%
ValueCountFrequency (%)
59.371
0.3%
38.871
0.3%
31.681
0.3%
31.071
0.3%
30.591
0.3%

政金债-合计.84
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.35895288
Minimum-114.59
Maximum100.08
Zeros11
Zeros (%)2.9%
Negative236
Negative (%)61.8%
Memory size3.1 KiB
2022-03-24T10:34:57.908032image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-114.59
5-th percentile-57.236
Q1-26.5525
median-6.43
Q37.93
95-th percentile44.167
Maximum100.08
Range214.67
Interquartile range (IQR)34.4825

Descriptive statistics

Standard deviation30.75425734
Coefficient of variation (CV)-3.67919975
Kurtosis0.9524769068
Mean-8.35895288
Median Absolute Deviation (MAD)17.875
Skewness-0.001590989679
Sum-3193.12
Variance945.8243448
MonotonicityNot monotonic
2022-03-24T10:34:57.954482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
22.982
 
0.5%
-23.872
 
0.5%
-3.992
 
0.5%
5.582
 
0.5%
-4.912
 
0.5%
-37.351
 
0.3%
2.391
 
0.3%
-20.81
 
0.3%
15.721
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-114.591
0.3%
-109.731
0.3%
-105.071
0.3%
-87.541
0.3%
-83.441
0.3%
ValueCountFrequency (%)
100.081
0.3%
82.851
0.3%
81.31
0.3%
66.91
0.3%
64.821
0.3%

政金债-合计.85
Real number (ℝ)

ZEROS

Distinct58
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.007931937173
Minimum-1.79
Maximum2.25
Zeros266
Zeros (%)69.6%
Negative62
Negative (%)16.2%
Memory size3.1 KiB
2022-03-24T10:34:58.005873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-0.5095
Q10
median0
Q30
95-th percentile0.41
Maximum2.25
Range4.04
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3025042731
Coefficient of variation (CV)-38.13750242
Kurtosis14.96388278
Mean-0.007931937173
Median Absolute Deviation (MAD)0
Skewness0.2056015501
Sum-3.03
Variance0.09150883525
MonotonicityNot monotonic
2022-03-24T10:34:58.053738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0266
69.6%
0.217
 
1.8%
-0.316
 
1.6%
-0.16
 
1.6%
0.15
 
1.3%
-0.25
 
1.3%
-0.215
 
1.3%
-0.524
 
1.0%
0.314
 
1.0%
-0.34
 
1.0%
Other values (48)70
 
18.3%
ValueCountFrequency (%)
-1.791
0.3%
-1.421
0.3%
-1.311
0.3%
-1.191
0.3%
-0.991
0.3%
ValueCountFrequency (%)
2.251
0.3%
1.181
0.3%
12
0.5%
0.91
0.3%
0.881
0.3%

政金债-合计.86
Real number (ℝ)

ZEROS

Distinct156
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1128272251
Minimum-4.59
Maximum4.94
Zeros116
Zeros (%)30.4%
Negative167
Negative (%)43.7%
Memory size3.1 KiB
2022-03-24T10:34:58.104222image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.59
5-th percentile-2.0755
Q1-0.42
median0
Q30.1
95-th percentile1.778
Maximum4.94
Range9.53
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation1.143163804
Coefficient of variation (CV)-10.13198545
Kurtosis5.142020451
Mean-0.1128272251
Median Absolute Deviation (MAD)0.3
Skewness0.1383405606
Sum-43.1
Variance1.306823482
MonotonicityNot monotonic
2022-03-24T10:34:58.152117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0116
30.4%
-0.114
 
3.7%
-0.218
 
2.1%
-0.417
 
1.8%
0.217
 
1.8%
0.17
 
1.8%
0.316
 
1.6%
-0.116
 
1.6%
-0.735
 
1.3%
-0.515
 
1.3%
Other values (146)201
52.6%
ValueCountFrequency (%)
-4.591
0.3%
-4.261
0.3%
-4.011
0.3%
-3.961
0.3%
-3.742
0.5%
ValueCountFrequency (%)
4.941
0.3%
4.71
0.3%
4.51
0.3%
3.831
0.3%
3.421
0.3%

政金债-合计.87
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07808900524
Minimum-9.47
Maximum1.52
Zeros356
Zeros (%)93.2%
Negative17
Negative (%)4.5%
Memory size3.1 KiB
2022-03-24T10:34:58.194580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.52
Range10.99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7462320134
Coefficient of variation (CV)-9.556172615
Kurtosis95.03275473
Mean-0.07808900524
Median Absolute Deviation (MAD)0
Skewness-9.139015901
Sum-29.83
Variance0.5568622178
MonotonicityNot monotonic
2022-03-24T10:34:58.237913image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0356
93.2%
0.13
 
0.8%
-0.23
 
0.8%
-0.12
 
0.5%
-4.431
 
0.3%
-5.461
 
0.3%
0.731
 
0.3%
-3.231
 
0.3%
1.051
 
0.3%
-0.521
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-9.471
0.3%
-6.961
0.3%
-5.461
0.3%
-4.431
0.3%
-3.231
0.3%
ValueCountFrequency (%)
1.521
0.3%
1.41
0.3%
1.051
0.3%
0.731
0.3%
0.411
0.3%

政金债-合计.88
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002356020942
Minimum0
Maximum0.9
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:58.277184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.9
Range0.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04604800591
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.002356020942
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.9
Variance0.002120418848
MonotonicityNot monotonic
2022-03-24T10:34:58.309001image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.91
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.91
 
0.3%
ValueCountFrequency (%)
0.91
 
0.3%
0381
99.7%

政金债-合计.89
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-24.84895288
Minimum-189.81
Maximum161.82
Zeros11
Zeros (%)2.9%
Negative256
Negative (%)67.0%
Memory size3.1 KiB
2022-03-24T10:34:58.353095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-189.81
5-th percentile-107.585
Q1-58.4475
median-23.86
Q35.67
95-th percentile58.78
Maximum161.82
Range351.63
Interquartile range (IQR)64.1175

Descriptive statistics

Standard deviation49.70807723
Coefficient of variation (CV)-2.000409332
Kurtosis0.7329814137
Mean-24.84895288
Median Absolute Deviation (MAD)31.89
Skewness0.1709899689
Sum-9492.3
Variance2470.892942
MonotonicityNot monotonic
2022-03-24T10:34:58.401202image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
6.212
 
0.5%
-29.192
 
0.5%
-37.12
 
0.5%
35.551
 
0.3%
-13.191
 
0.3%
7.821
 
0.3%
7.611
 
0.3%
-30.91
 
0.3%
-67.481
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-189.811
0.3%
-156.671
0.3%
-154.561
0.3%
-133.81
0.3%
-133.151
0.3%
ValueCountFrequency (%)
161.821
0.3%
128.961
0.3%
118.711
0.3%
115.691
0.3%
104.051
0.3%

政金债-新债
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01413612565
Minimum0
Maximum2
Zeros374
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:58.444008image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127397377
Coefficient of variation (CV)9.012184815
Kurtosis170.7416405
Mean0.01413612565
Median Absolute Deviation (MAD)0
Skewness12.22048342
Sum5.4
Variance0.01623009166
MonotonicityNot monotonic
2022-03-24T10:34:58.478946image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0374
97.9%
0.54
 
1.0%
0.21
 
0.3%
0.11
 
0.3%
21
 
0.3%
1.11
 
0.3%
ValueCountFrequency (%)
0374
97.9%
0.11
 
0.3%
0.21
 
0.3%
0.54
 
1.0%
1.11
 
0.3%
ValueCountFrequency (%)
21
 
0.3%
1.11
 
0.3%
0.54
1.0%
0.21
 
0.3%
0.11
 
0.3%

政金债-新债.1
Real number (ℝ)

ZEROS

Distinct15
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03534031414
Minimum-1.51
Maximum4.61
Zeros359
Zeros (%)94.0%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:34:58.516213image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile0
Q10
median0
Q30
95-th percentile0.095
Maximum4.61
Range6.12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.308775865
Coefficient of variation (CV)8.737213365
Kurtosis136.8086946
Mean0.03534031414
Median Absolute Deviation (MAD)0
Skewness9.884009267
Sum13.5
Variance0.0953425348
MonotonicityNot monotonic
2022-03-24T10:34:58.548996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0359
94.0%
0.34
 
1.0%
0.24
 
1.0%
0.52
 
0.5%
-0.52
 
0.5%
0.12
 
0.5%
0.991
 
0.3%
0.491
 
0.3%
21
 
0.3%
4.611
 
0.3%
Other values (5)5
 
1.3%
ValueCountFrequency (%)
-1.511
 
0.3%
-0.52
 
0.5%
0359
94.0%
0.12
 
0.5%
0.24
 
1.0%
ValueCountFrequency (%)
4.611
0.3%
2.011
0.3%
21
0.3%
1.011
0.3%
0.991
0.3%

政金债-新债.2
Real number (ℝ)

ZEROS

Distinct24
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04842931937
Minimum-1
Maximum7.5
Zeros351
Zeros (%)91.9%
Negative11
Negative (%)2.9%
Memory size3.1 KiB
2022-03-24T10:34:58.587289image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0.095
Maximum7.5
Range8.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4488604925
Coefficient of variation (CV)9.268362601
Kurtosis202.362522
Mean0.04842931937
Median Absolute Deviation (MAD)0
Skewness12.73710826
Sum18.5
Variance0.2014757417
MonotonicityNot monotonic
2022-03-24T10:34:58.622625image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0351
91.9%
-0.34
 
1.0%
0.53
 
0.8%
12
 
0.5%
0.12
 
0.5%
0.32
 
0.5%
7.51
 
0.3%
-0.611
 
0.3%
1.211
 
0.3%
0.611
 
0.3%
Other values (14)14
 
3.7%
ValueCountFrequency (%)
-11
 
0.3%
-0.811
 
0.3%
-0.611
 
0.3%
-0.511
 
0.3%
-0.34
1.0%
ValueCountFrequency (%)
7.51
0.3%
2.031
0.3%
21
0.3%
1.531
0.3%
1.241
0.3%

政金债-新债.3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007853403141
Minimum0
Maximum0.3
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:58.654654image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0153493353
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0007853403141
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.3
Variance0.0002356020942
MonotonicityNot monotonic
2022-03-24T10:34:58.684337image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0.31
 
0.3%
0381
99.7%

政金债-新债.4
Real number (ℝ)

ZEROS

Distinct163
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6487434555
Minimum-30.32
Maximum25.77
Zeros167
Zeros (%)43.7%
Negative70
Negative (%)18.3%
Memory size3.1 KiB
2022-03-24T10:34:58.726632image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.32
5-th percentile-2.678
Q10
median0
Q30.6875
95-th percentile6.6095
Maximum25.77
Range56.09
Interquartile range (IQR)0.6875

Descriptive statistics

Standard deviation4.204170345
Coefficient of variation (CV)6.48048209
Kurtosis20.28098797
Mean0.6487434555
Median Absolute Deviation (MAD)0.2
Skewness1.284356812
Sum247.82
Variance17.67504829
MonotonicityNot monotonic
2022-03-24T10:34:58.770803image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0167
43.7%
0.112
 
3.1%
-0.15
 
1.3%
0.194
 
1.0%
0.24
 
1.0%
0.294
 
1.0%
1.013
 
0.8%
-0.393
 
0.8%
0.493
 
0.8%
-0.23
 
0.8%
Other values (153)174
45.5%
ValueCountFrequency (%)
-30.321
0.3%
-15.231
0.3%
-14.341
0.3%
-12.291
0.3%
-9.941
0.3%
ValueCountFrequency (%)
25.771
0.3%
24.051
0.3%
22.531
0.3%
22.131
0.3%
21.691
0.3%

政金债-新债.6
Real number (ℝ)

ZEROS

Distinct24
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1340575916
Minimum-0.53
Maximum7.48
Zeros356
Zeros (%)93.2%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:58.812103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.53
5-th percentile0
Q10
median0
Q30
95-th percentile0.396
Maximum7.48
Range8.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6960609281
Coefficient of variation (CV)5.192252969
Kurtosis47.37243595
Mean0.1340575916
Median Absolute Deviation (MAD)0
Skewness6.390052953
Sum51.21
Variance0.4845008156
MonotonicityNot monotonic
2022-03-24T10:34:58.849911image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0356
93.2%
0.53
 
0.8%
0.22
 
0.5%
1.291
 
0.3%
4.681
 
0.3%
2.991
 
0.3%
3.491
 
0.3%
2.591
 
0.3%
7.481
 
0.3%
3.191
 
0.3%
Other values (14)14
 
3.7%
ValueCountFrequency (%)
-0.531
 
0.3%
-0.111
 
0.3%
0356
93.2%
0.22
 
0.5%
0.31
 
0.3%
ValueCountFrequency (%)
7.481
0.3%
4.681
0.3%
4.161
0.3%
3.881
0.3%
3.861
0.3%

政金债-新债.7
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0807591623
Minimum0
Maximum13.55
Zeros374
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:58.886163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.55
Range13.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9283712487
Coefficient of variation (CV)11.49555323
Kurtosis175.9780878
Mean0.0807591623
Median Absolute Deviation (MAD)0
Skewness13.08723038
Sum30.85
Variance0.8618731754
MonotonicityNot monotonic
2022-03-24T10:34:58.922119image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0374
97.9%
0.12
 
0.5%
3.781
 
0.3%
11.461
 
0.3%
0.21
 
0.3%
13.551
 
0.3%
0.511
 
0.3%
1.151
 
0.3%
ValueCountFrequency (%)
0374
97.9%
0.12
 
0.5%
0.21
 
0.3%
0.511
 
0.3%
1.151
 
0.3%
ValueCountFrequency (%)
13.551
0.3%
11.461
0.3%
3.781
0.3%
1.151
0.3%
0.511
0.3%

政金债-新债.8
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007853403141
Minimum0
Maximum0.3
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:34:58.957464image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0153493353
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0007853403141
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.3
Variance0.0002356020942
MonotonicityNot monotonic
2022-03-24T10:34:58.989334image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.31
 
0.3%
ValueCountFrequency (%)
0.31
 
0.3%
0381
99.7%

政金债-新债.9
Real number (ℝ)

ZEROS

Distinct181
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9630104712
Minimum-30.32
Maximum25.77
Zeros136
Zeros (%)35.6%
Negative68
Negative (%)17.8%
Memory size3.1 KiB
2022-03-24T10:34:59.033101image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-30.32
5-th percentile-2.6535
Q10
median0
Q31.0275
95-th percentile7.52
Maximum25.77
Range56.09
Interquartile range (IQR)1.0275

Descriptive statistics

Standard deviation4.388109093
Coefficient of variation (CV)4.556657715
Kurtosis16.6907689
Mean0.9630104712
Median Absolute Deviation (MAD)0.41
Skewness1.102332891
Sum367.87
Variance19.25550141
MonotonicityNot monotonic
2022-03-24T10:34:59.384452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0136
35.6%
0.112
 
3.1%
0.59
 
2.4%
0.35
 
1.3%
-0.34
 
1.0%
0.494
 
1.0%
0.24
 
1.0%
0.823
 
0.8%
1.013
 
0.8%
13
 
0.8%
Other values (171)199
52.1%
ValueCountFrequency (%)
-30.321
0.3%
-15.231
0.3%
-14.341
0.3%
-12.291
0.3%
-9.941
0.3%
ValueCountFrequency (%)
25.771
0.3%
24.051
0.3%
22.531
0.3%
22.131
0.3%
21.691
0.3%

政金债-新债.10
Real number (ℝ)

ZEROS

Distinct61
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3461780105
Minimum-16.36
Maximum6.88
Zeros278
Zeros (%)72.8%
Negative67
Negative (%)17.5%
Memory size3.1 KiB
2022-03-24T10:34:59.430135image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.36
5-th percentile-3.295
Q10
median0
Q30
95-th percentile0.8
Maximum6.88
Range23.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.898407414
Coefficient of variation (CV)-5.483905263
Kurtosis29.07400872
Mean-0.3461780105
Median Absolute Deviation (MAD)0
Skewness-4.264403221
Sum-132.24
Variance3.603950708
MonotonicityNot monotonic
2022-03-24T10:34:59.477179image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0278
72.8%
0.57
 
1.8%
-0.27
 
1.8%
-0.56
 
1.6%
-14
 
1.0%
-0.14
 
1.0%
0.13
 
0.8%
0.33
 
0.8%
-1.93
 
0.8%
0.83
 
0.8%
Other values (51)64
 
16.8%
ValueCountFrequency (%)
-16.361
0.3%
-13.491
0.3%
-13.291
0.3%
-11.571
0.3%
-8.71
0.3%
ValueCountFrequency (%)
6.881
0.3%
5.41
0.3%
4.61
0.3%
3.981
0.3%
3.21
0.3%

政金债-新债.11
Real number (ℝ)

ZEROS

Distinct86
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1615706806
Minimum-8.7
Maximum13.65
Zeros209
Zeros (%)54.7%
Negative69
Negative (%)18.1%
Memory size3.1 KiB
2022-03-24T10:34:59.523826image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.7
5-th percentile-1.4
Q10
median0
Q30.2
95-th percentile2.1565
Maximum13.65
Range22.35
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation1.407646775
Coefficient of variation (CV)8.712266169
Kurtosis28.76897611
Mean0.1615706806
Median Absolute Deviation (MAD)0
Skewness2.01023822
Sum61.72
Variance1.981469442
MonotonicityNot monotonic
2022-03-24T10:34:59.566976image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0209
54.7%
0.512
 
3.1%
0.310
 
2.6%
19
 
2.4%
-17
 
1.8%
0.27
 
1.8%
-0.25
 
1.3%
-0.35
 
1.3%
-0.54
 
1.0%
-0.44
 
1.0%
Other values (76)110
28.8%
ValueCountFrequency (%)
-8.71
0.3%
-6.141
0.3%
-5.471
0.3%
-3.931
0.3%
-2.411
0.3%
ValueCountFrequency (%)
13.651
0.3%
5.791
0.3%
5.491
0.3%
4.51
0.3%
4.391
0.3%

政金债-新债.12
Real number (ℝ)

ZEROS

Distinct166
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3470418848
Minimum-13.14
Maximum7.22
Zeros92
Zeros (%)24.1%
Negative97
Negative (%)25.4%
Memory size3.1 KiB
2022-03-24T10:34:59.612045image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.14
5-th percentile-3.039
Q1-0.1
median0.1
Q31.1625
95-th percentile3.6865
Maximum7.22
Range20.36
Interquartile range (IQR)1.2625

Descriptive statistics

Standard deviation2.112009751
Coefficient of variation (CV)6.08574885
Kurtosis6.773478439
Mean0.3470418848
Median Absolute Deviation (MAD)0.61
Skewness-0.9592921451
Sum132.57
Variance4.46058519
MonotonicityNot monotonic
2022-03-24T10:34:59.659417image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
092
24.1%
0.315
 
3.9%
-0.112
 
3.1%
0.511
 
2.9%
0.28
 
2.1%
0.47
 
1.8%
-0.57
 
1.8%
1.17
 
1.8%
1.25
 
1.3%
-0.45
 
1.3%
Other values (156)213
55.8%
ValueCountFrequency (%)
-13.141
0.3%
-8.521
0.3%
-8.31
0.3%
-7.821
0.3%
-6.411
0.3%
ValueCountFrequency (%)
7.221
0.3%
6.411
0.3%
6.392
0.5%
5.991
0.3%
5.961
0.3%

政金债-新债.13
Real number (ℝ)

ZEROS

Distinct93
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2684031414
Minimum-4.76
Maximum8.35
Zeros227
Zeros (%)59.4%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:34:59.710796image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.76
5-th percentile-0.7995
Q10
median0
Q30.3
95-th percentile2.3995
Maximum8.35
Range13.11
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation1.243255322
Coefficient of variation (CV)4.632044601
Kurtosis11.81135641
Mean0.2684031414
Median Absolute Deviation (MAD)0
Skewness1.714036417
Sum102.53
Variance1.545683795
MonotonicityNot monotonic
2022-03-24T10:34:59.762050image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0227
59.4%
0.39
 
2.4%
0.28
 
2.1%
0.16
 
1.6%
15
 
1.3%
-0.25
 
1.3%
0.55
 
1.3%
-0.34
 
1.0%
0.44
 
1.0%
0.413
 
0.8%
Other values (83)106
27.7%
ValueCountFrequency (%)
-4.761
0.3%
-4.371
0.3%
-4.361
0.3%
-3.931
0.3%
-3.51
0.3%
ValueCountFrequency (%)
8.351
0.3%
7.581
0.3%
6.31
0.3%
4.681
0.3%
4.541
0.3%

政金债-新债.14
Real number (ℝ)

ZEROS

Distinct294
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.094450262
Minimum-75.03
Maximum70.31
Zeros37
Zeros (%)9.7%
Negative138
Negative (%)36.1%
Memory size3.1 KiB
2022-03-24T10:34:59.810028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-75.03
5-th percentile-17.617
Q1-1.7275
median0.3
Q34.92
95-th percentile26.854
Maximum70.31
Range145.34
Interquartile range (IQR)6.6475

Descriptive statistics

Standard deviation14.5046743
Coefficient of variation (CV)6.925289448
Kurtosis6.431949995
Mean2.094450262
Median Absolute Deviation (MAD)2.795
Skewness0.07031034842
Sum800.08
Variance210.3855765
MonotonicityNot monotonic
2022-03-24T10:34:59.855053image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037
 
9.7%
0.29
 
2.4%
0.37
 
1.8%
-0.293
 
0.8%
-0.33
 
0.8%
0.513
 
0.8%
-0.73
 
0.8%
1.23
 
0.8%
-0.53
 
0.8%
1.53
 
0.8%
Other values (284)308
80.6%
ValueCountFrequency (%)
-75.031
0.3%
-63.251
0.3%
-60.121
0.3%
-44.351
0.3%
-36.971
0.3%
ValueCountFrequency (%)
70.311
0.3%
58.311
0.3%
51.121
0.3%
47.611
0.3%
47.31
0.3%

政金债-新债.15
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00280104712
Minimum-0.55
Maximum1.07
Zeros377
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:34:59.894886image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.55
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.07
Range1.62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07820329654
Coefficient of variation (CV)27.91930774
Kurtosis114.6188959
Mean0.00280104712
Median Absolute Deviation (MAD)0
Skewness6.650134106
Sum1.07
Variance0.006115755589
MonotonicityNot monotonic
2022-03-24T10:34:59.927521image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0377
98.7%
0.551
 
0.3%
1.071
 
0.3%
0.541
 
0.3%
-0.541
 
0.3%
-0.551
 
0.3%
ValueCountFrequency (%)
-0.551
 
0.3%
-0.541
 
0.3%
0377
98.7%
0.541
 
0.3%
0.551
 
0.3%
ValueCountFrequency (%)
1.071
 
0.3%
0.551
 
0.3%
0.541
 
0.3%
0377
98.7%
-0.541
 
0.3%

政金债-新债.16
Real number (ℝ)

ZEROS

Distinct25
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02445026178
Minimum-2.09
Maximum3.19
Zeros351
Zeros (%)91.9%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:34:59.969397image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.09
5-th percentile0
Q10
median0
Q30
95-th percentile0.195
Maximum3.19
Range5.28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3270059619
Coefficient of variation (CV)13.37433377
Kurtosis38.8517176
Mean0.02445026178
Median Absolute Deviation (MAD)0
Skewness2.388319494
Sum9.34
Variance0.1069328991
MonotonicityNot monotonic
2022-03-24T10:35:00.010979image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0351
91.9%
0.54
 
1.0%
-0.12
 
0.5%
-1.52
 
0.5%
0.22
 
0.5%
-0.52
 
0.5%
1.091
 
0.3%
0.81
 
0.3%
11
 
0.3%
-1.011
 
0.3%
Other values (15)15
 
3.9%
ValueCountFrequency (%)
-2.091
0.3%
-1.681
0.3%
-1.52
0.5%
-1.011
0.3%
-0.541
0.3%
ValueCountFrequency (%)
3.191
0.3%
2.291
0.3%
1.31
0.3%
1.291
0.3%
1.191
0.3%

政金债-新债.17
Real number (ℝ)

ZEROS

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01963350785
Minimum-2.69
Maximum6.06
Zeros370
Zeros (%)96.9%
Negative5
Negative (%)1.3%
Memory size3.1 KiB
2022-03-24T10:35:00.049166image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.69
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6.06
Range8.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4592957884
Coefficient of variation (CV)23.39346549
Kurtosis126.2296689
Mean0.01963350785
Median Absolute Deviation (MAD)0
Skewness9.141388526
Sum7.5
Variance0.2109526212
MonotonicityNot monotonic
2022-03-24T10:35:00.082047image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0370
96.9%
0.312
 
0.5%
5.231
 
0.3%
-0.581
 
0.3%
-2.691
 
0.3%
-0.61
 
0.3%
-2.221
 
0.3%
-0.411
 
0.3%
0.211
 
0.3%
0.11
 
0.3%
Other values (2)2
 
0.5%
ValueCountFrequency (%)
-2.691
0.3%
-2.221
0.3%
-0.61
0.3%
-0.581
0.3%
-0.411
0.3%
ValueCountFrequency (%)
6.061
0.3%
5.231
0.3%
1.781
0.3%
0.312
0.5%
0.211
0.3%

政金债-新债.18
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001308900524
Minimum0
Maximum0.5
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:00.112955image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.5
Range0.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0255822255
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.001308900524
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.5
Variance0.0006544502618
MonotonicityNot monotonic
2022-03-24T10:35:00.145424image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.51
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.51
 
0.3%
ValueCountFrequency (%)
0.51
 
0.3%
0381
99.7%

政金债-新债.19
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.573298429
Minimum-75.73
Maximum71.72
Zeros15
Zeros (%)3.9%
Negative144
Negative (%)37.7%
Memory size3.1 KiB
2022-03-24T10:35:00.187734image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-75.73
5-th percentile-16.9665
Q1-2.705
median1.21
Q36.9225
95-th percentile27.491
Maximum71.72
Range147.45
Interquartile range (IQR)9.6275

Descriptive statistics

Standard deviation14.9603337
Coefficient of variation (CV)5.813680033
Kurtosis5.909778079
Mean2.573298429
Median Absolute Deviation (MAD)4.52
Skewness0.001878574169
Sum983
Variance223.8115844
MonotonicityNot monotonic
2022-03-24T10:35:00.234873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
3.9%
1.24
 
1.0%
3.413
 
0.8%
1.33
 
0.8%
-1.213
 
0.8%
0.32
 
0.5%
16.452
 
0.5%
-0.612
 
0.5%
5.132
 
0.5%
0.12
 
0.5%
Other values (328)344
90.1%
ValueCountFrequency (%)
-75.731
0.3%
-61.431
0.3%
-60.931
0.3%
-44.561
0.3%
-38.291
0.3%
ValueCountFrequency (%)
71.721
0.3%
60.61
0.3%
54.231
0.3%
49.111
0.3%
48.941
0.3%

政金债-新债.20
Real number (ℝ)

ZEROS

Distinct116
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.673560209
Minimum-26.3
Maximum9.26
Zeros192
Zeros (%)50.3%
Negative179
Negative (%)46.9%
Memory size3.1 KiB
2022-03-24T10:35:00.284567image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.3
5-th percentile-8.4905
Q1-1.99
median0
Q30
95-th percentile0
Maximum9.26
Range35.56
Interquartile range (IQR)1.99

Descriptive statistics

Standard deviation3.58579677
Coefficient of variation (CV)-2.142615933
Kurtosis14.35112564
Mean-1.673560209
Median Absolute Deviation (MAD)0
Skewness-3.218339278
Sum-639.3
Variance12.85793847
MonotonicityNot monotonic
2022-03-24T10:35:00.330085image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0192
50.3%
-111
 
2.9%
-0.511
 
2.9%
-0.29
 
2.4%
-0.38
 
2.1%
-1.15
 
1.3%
-1.994
 
1.0%
-0.74
 
1.0%
-1.84
 
1.0%
-24
 
1.0%
Other values (106)130
34.0%
ValueCountFrequency (%)
-26.31
0.3%
-22.791
0.3%
-20.81
0.3%
-20.091
0.3%
-18.211
0.3%
ValueCountFrequency (%)
9.261
0.3%
4.471
0.3%
2.492
0.5%
2.411
0.3%
12
0.5%

政金债-新债.21
Real number (ℝ)

ZEROS

Distinct136
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.917565445
Minimum-33.06
Maximum6.19
Zeros186
Zeros (%)48.7%
Negative176
Negative (%)46.1%
Memory size3.1 KiB
2022-03-24T10:35:00.380229image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-33.06
5-th percentile-9.8715
Q1-2.51
median0
Q30
95-th percentile0.19
Maximum6.19
Range39.25
Interquartile range (IQR)2.51

Descriptive statistics

Standard deviation3.841721452
Coefficient of variation (CV)-2.003436942
Kurtosis14.47290067
Mean-1.917565445
Median Absolute Deviation (MAD)0.2
Skewness-3.063243407
Sum-732.51
Variance14.75882372
MonotonicityNot monotonic
2022-03-24T10:35:00.428193image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0186
48.7%
-0.510
 
2.6%
-0.28
 
2.1%
-16
 
1.6%
-1.54
 
1.0%
-1.34
 
1.0%
0.54
 
1.0%
-2.514
 
1.0%
-1.23
 
0.8%
-0.33
 
0.8%
Other values (126)150
39.3%
ValueCountFrequency (%)
-33.061
0.3%
-19.521
0.3%
-19.181
0.3%
-17.851
0.3%
-16.21
0.3%
ValueCountFrequency (%)
6.191
0.3%
2.911
0.3%
2.221
0.3%
1.811
0.3%
1.791
0.3%

政金债-新债.22
Real number (ℝ)

ZEROS

Distinct196
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.018874346
Minimum-51.68
Maximum2.61
Zeros90
Zeros (%)23.6%
Negative252
Negative (%)66.0%
Memory size3.1 KiB
2022-03-24T10:35:00.478869image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-51.68
5-th percentile-13.651
Q1-3.74
median-0.905
Q30
95-th percentile0.51
Maximum2.61
Range54.29
Interquartile range (IQR)3.74

Descriptive statistics

Standard deviation5.710200298
Coefficient of variation (CV)-1.891499826
Kurtosis21.20217075
Mean-3.018874346
Median Absolute Deviation (MAD)0.905
Skewness-3.799591745
Sum-1153.21
Variance32.60638744
MonotonicityNot monotonic
2022-03-24T10:35:00.530267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
090
 
23.6%
-0.511
 
2.9%
-0.48
 
2.1%
0.37
 
1.8%
-0.37
 
1.8%
-0.26
 
1.6%
-0.75
 
1.3%
0.515
 
1.3%
0.55
 
1.3%
-14
 
1.0%
Other values (186)234
61.3%
ValueCountFrequency (%)
-51.681
0.3%
-41.161
0.3%
-30.031
0.3%
-24.71
0.3%
-24.681
0.3%
ValueCountFrequency (%)
2.611
0.3%
2.51
0.3%
2.31
0.3%
2.021
0.3%
21
0.3%

政金债-新债.23
Real number (ℝ)

ZEROS

Distinct116
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9096858639
Minimum-12.09
Maximum3.14
Zeros227
Zeros (%)59.4%
Negative129
Negative (%)33.8%
Memory size3.1 KiB
2022-03-24T10:35:00.588698image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.09
5-th percentile-6.2075
Q1-0.58
median0
Q30
95-th percentile0.48
Maximum3.14
Range15.23
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation2.264618862
Coefficient of variation (CV)-2.489451526
Kurtosis8.781384929
Mean-0.9096858639
Median Absolute Deviation (MAD)0
Skewness-2.867278587
Sum-347.5
Variance5.128498589
MonotonicityNot monotonic
2022-03-24T10:35:00.637886image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0227
59.4%
-0.516
 
1.6%
-0.26
 
1.6%
-0.55
 
1.3%
-0.15
 
1.3%
-14
 
1.0%
-0.613
 
0.8%
0.53
 
0.8%
0.513
 
0.8%
-0.33
 
0.8%
Other values (106)117
30.6%
ValueCountFrequency (%)
-12.091
0.3%
-12.031
0.3%
-12.011
0.3%
-11.91
0.3%
-10.811
0.3%
ValueCountFrequency (%)
3.141
0.3%
2.011
0.3%
1.991
0.3%
1.481
0.3%
1.31
0.3%

政金债-新债.24
Real number (ℝ)

ZEROS

Distinct299
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.555183246
Minimum-79.55
Maximum9.13
Zeros56
Zeros (%)14.7%
Negative275
Negative (%)72.0%
Memory size3.1 KiB
2022-03-24T10:35:00.690423image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-79.55
5-th percentile-41.2895
Q1-11.6625
median-3.34
Q30
95-th percentile2.568
Maximum9.13
Range88.68
Interquartile range (IQR)11.6625

Descriptive statistics

Standard deviation13.46961043
Coefficient of variation (CV)-1.574438564
Kurtosis4.241668331
Mean-8.555183246
Median Absolute Deviation (MAD)3.34
Skewness-1.999430464
Sum-3268.08
Variance181.4304051
MonotonicityNot monotonic
2022-03-24T10:35:00.737279image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056
 
14.7%
-0.14
 
1.0%
-0.54
 
1.0%
-3.892
 
0.5%
-0.92
 
0.5%
-5.662
 
0.5%
-3.342
 
0.5%
0.32
 
0.5%
-1.82
 
0.5%
-0.22
 
0.5%
Other values (289)304
79.6%
ValueCountFrequency (%)
-79.551
0.3%
-58.261
0.3%
-56.211
0.3%
-55.991
0.3%
-54.811
0.3%
ValueCountFrequency (%)
9.131
0.3%
7.851
0.3%
7.71
0.3%
6.881
0.3%
6.831
0.3%

政金债-新债.25
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001387434555
Minimum0
Maximum0.53
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:00.774188image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.53
Range0.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02711715904
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.001387434555
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.53
Variance0.0007353403141
MonotonicityNot monotonic
2022-03-24T10:35:00.807070image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.531
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.531
 
0.3%
ValueCountFrequency (%)
0.531
 
0.3%
0381
99.7%

政金债-新债.26
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2729581152
Minimum-17.47
Maximum1.03
Zeros361
Zeros (%)94.5%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:35:00.844074image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.03
Range18.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.618473534
Coefficient of variation (CV)-5.929384196
Kurtosis58.04745924
Mean-0.2729581152
Median Absolute Deviation (MAD)0
Skewness-7.230277648
Sum-104.27
Variance2.619456581
MonotonicityNot monotonic
2022-03-24T10:35:00.881464image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0361
94.5%
-1.91
 
0.3%
-0.21
 
0.3%
0.21
 
0.3%
-13.321
 
0.3%
-1.11
 
0.3%
-17.471
 
0.3%
-10.991
 
0.3%
-6.571
 
0.3%
-6.381
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-17.471
0.3%
-13.321
0.3%
-10.991
0.3%
-10.931
0.3%
-10.191
0.3%
ValueCountFrequency (%)
1.031
 
0.3%
0.21
 
0.3%
0361
94.5%
-0.11
 
0.3%
-0.21
 
0.3%

政金债-新债.27
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07115183246
Minimum-9.3
Maximum4.49
Zeros368
Zeros (%)96.3%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:35:00.919764image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.3
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.49
Range13.79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8167551399
Coefficient of variation (CV)-11.47904575
Kurtosis93.88369877
Mean-0.07115183246
Median Absolute Deviation (MAD)0
Skewness-8.517467856
Sum-27.18
Variance0.6670889585
MonotonicityNot monotonic
2022-03-24T10:35:00.951868image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0368
96.3%
-0.892
 
0.5%
0.941
 
0.3%
-0.961
 
0.3%
-2.791
 
0.3%
-0.21
 
0.3%
0.91
 
0.3%
0.911
 
0.3%
-8.471
 
0.3%
-1.521
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-9.31
0.3%
-8.471
0.3%
-7.731
0.3%
-2.791
0.3%
-1.671
0.3%
ValueCountFrequency (%)
4.491
 
0.3%
0.941
 
0.3%
0.911
 
0.3%
0.91
 
0.3%
0368
96.3%

政金债-新债.29
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.41777487
Minimum-87.77
Maximum10.16
Zeros13
Zeros (%)3.4%
Negative346
Negative (%)90.6%
Memory size3.1 KiB
2022-03-24T10:35:00.995083image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-87.77
5-th percentile-54.017
Q1-24.015
median-12.16
Q3-4.1
95-th percentile0.267
Maximum10.16
Range97.93
Interquartile range (IQR)19.915

Descriptive statistics

Standard deviation17.07356287
Coefficient of variation (CV)-1.039943781
Kurtosis2.525356973
Mean-16.41777487
Median Absolute Deviation (MAD)9.265
Skewness-1.531751009
Sum-6271.59
Variance291.5065491
MonotonicityNot monotonic
2022-03-24T10:35:01.042213image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
0.512
 
0.5%
-16.682
 
0.5%
-15.932
 
0.5%
-4.362
 
0.5%
-13.232
 
0.5%
-0.52
 
0.5%
-12.72
 
0.5%
-1.592
 
0.5%
-12.132
 
0.5%
Other values (341)351
91.9%
ValueCountFrequency (%)
-87.771
0.3%
-82.871
0.3%
-80.551
0.3%
-76.351
0.3%
-74.091
0.3%
ValueCountFrequency (%)
10.161
0.3%
8.931
0.3%
6.671
0.3%
4.471
0.3%
4.411
0.3%

政金债-新债.30
Real number (ℝ)

ZEROS

Distinct151
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.100471204
Minimum-11.16
Maximum31.98
Zeros144
Zeros (%)37.7%
Negative45
Negative (%)11.8%
Memory size3.1 KiB
2022-03-24T10:35:01.091005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.16
5-th percentile-1.09
Q10
median0.2
Q32.69
95-th percentile11.875
Maximum31.98
Range43.14
Interquartile range (IQR)2.69

Descriptive statistics

Standard deviation4.660044866
Coefficient of variation (CV)2.218571174
Kurtosis10.14398933
Mean2.100471204
Median Absolute Deviation (MAD)0.4
Skewness2.787741792
Sum802.38
Variance21.71601815
MonotonicityNot monotonic
2022-03-24T10:35:01.137494image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0144
37.7%
0.512
 
3.1%
0.211
 
2.9%
0.39
 
2.4%
-0.59
 
2.4%
0.66
 
1.6%
0.76
 
1.6%
14
 
1.0%
-0.23
 
0.8%
0.43
 
0.8%
Other values (141)175
45.8%
ValueCountFrequency (%)
-11.161
0.3%
-4.11
0.3%
-3.981
0.3%
-3.591
0.3%
-3.321
0.3%
ValueCountFrequency (%)
31.981
0.3%
26.251
0.3%
24.41
0.3%
23.981
0.3%
19.31
0.3%

政金债-新债.31
Real number (ℝ)

ZEROS

Distinct147
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.927539267
Minimum-3.99
Maximum22.29
Zeros154
Zeros (%)40.3%
Negative29
Negative (%)7.6%
Memory size3.1 KiB
2022-03-24T10:35:01.184533image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.99
5-th percentile-0.4995
Q10
median0.2
Q32.3
95-th percentile9.578
Maximum22.29
Range26.28
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation3.761410806
Coefficient of variation (CV)1.951405541
Kurtosis8.206585107
Mean1.927539267
Median Absolute Deviation (MAD)0.3
Skewness2.655775199
Sum736.32
Variance14.14821125
MonotonicityNot monotonic
2022-03-24T10:35:01.233370image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0154
40.3%
0.516
 
4.2%
0.26
 
1.6%
0.36
 
1.6%
25
 
1.3%
0.45
 
1.3%
14
 
1.0%
1.64
 
1.0%
1.014
 
1.0%
0.64
 
1.0%
Other values (137)174
45.5%
ValueCountFrequency (%)
-3.991
0.3%
-3.041
0.3%
-2.71
0.3%
-2.211
0.3%
-1.691
0.3%
ValueCountFrequency (%)
22.291
0.3%
20.611
0.3%
19.991
0.3%
18.511
0.3%
18.141
0.3%

政金债-新债.32
Real number (ℝ)

ZEROS

Distinct210
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.546701571
Minimum-8.57
Maximum56.31
Zeros94
Zeros (%)24.6%
Negative67
Negative (%)17.5%
Memory size3.1 KiB
2022-03-24T10:35:01.280659image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-8.57
5-th percentile-1.72
Q10
median0.5
Q32.67
95-th percentile14.142
Maximum56.31
Range64.88
Interquartile range (IQR)2.67

Descriptive statistics

Standard deviation6.165004112
Coefficient of variation (CV)2.420779955
Kurtosis21.77234476
Mean2.546701571
Median Absolute Deviation (MAD)0.9
Skewness3.905168834
Sum972.84
Variance38.00727571
MonotonicityNot monotonic
2022-03-24T10:35:01.327983image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
094
24.6%
0.512
 
3.1%
0.19
 
2.4%
0.27
 
1.8%
1.56
 
1.6%
-0.15
 
1.3%
0.95
 
1.3%
0.35
 
1.3%
-0.24
 
1.0%
0.74
 
1.0%
Other values (200)231
60.5%
ValueCountFrequency (%)
-8.571
0.3%
-6.11
0.3%
-5.81
0.3%
-4.011
0.3%
-3.681
0.3%
ValueCountFrequency (%)
56.311
0.3%
37.841
0.3%
30.631
0.3%
30.341
0.3%
29.631
0.3%

政金债-新债.33
Real number (ℝ)

ZEROS

Distinct107
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.330340314
Minimum-2.38
Maximum43.36
Zeros241
Zeros (%)63.1%
Negative28
Negative (%)7.3%
Memory size3.1 KiB
2022-03-24T10:35:01.377954image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.38
5-th percentile-0.3955
Q10
median0
Q30.375
95-th percentile6.819
Maximum43.36
Range45.74
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation4.534071903
Coefficient of variation (CV)3.408204543
Kurtosis35.7552889
Mean1.330340314
Median Absolute Deviation (MAD)0
Skewness5.474129707
Sum508.19
Variance20.55780802
MonotonicityNot monotonic
2022-03-24T10:35:01.423831image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0241
63.1%
0.17
 
1.8%
0.24
 
1.0%
0.54
 
1.0%
0.34
 
1.0%
0.73
 
0.8%
-0.493
 
0.8%
-0.33
 
0.8%
-0.53
 
0.8%
0.813
 
0.8%
Other values (97)107
28.0%
ValueCountFrequency (%)
-2.381
0.3%
-2.331
0.3%
-1.191
0.3%
-0.911
0.3%
-0.891
0.3%
ValueCountFrequency (%)
43.361
0.3%
32.271
0.3%
30.911
0.3%
26.711
0.3%
25.921
0.3%

政金债-新债.34
Real number (ℝ)

ZEROS

Distinct275
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.835602094
Minimum-62.31
Maximum76.37
Zeros60
Zeros (%)15.7%
Negative89
Negative (%)23.3%
Memory size3.1 KiB
2022-03-24T10:35:01.468948image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-62.31
5-th percentile-9.274
Q10
median1.005
Q37.8975
95-th percentile30.1125
Maximum76.37
Range138.68
Interquartile range (IQR)7.8975

Descriptive statistics

Standard deviation13.34302252
Coefficient of variation (CV)2.759330122
Kurtosis6.43693002
Mean4.835602094
Median Absolute Deviation (MAD)2.595
Skewness1.275441517
Sum1847.2
Variance178.0362499
MonotonicityNot monotonic
2022-03-24T10:35:01.514886image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
060
 
15.7%
0.17
 
1.8%
0.25
 
1.3%
-0.24
 
1.0%
-0.54
 
1.0%
14
 
1.0%
-0.14
 
1.0%
0.53
 
0.8%
0.43
 
0.8%
0.33
 
0.8%
Other values (265)285
74.6%
ValueCountFrequency (%)
-62.311
0.3%
-29.971
0.3%
-29.351
0.3%
-28.741
0.3%
-23.361
0.3%
ValueCountFrequency (%)
76.371
0.3%
60.971
0.3%
57.021
0.3%
56.441
0.3%
55.091
0.3%

政金债-新债.35
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006256544503
Minimum-1.07
Maximum0.85
Zeros376
Zeros (%)98.4%
Negative5
Negative (%)1.3%
Memory size3.1 KiB
2022-03-24T10:35:01.555571image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.07
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.85
Range1.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08918038664
Coefficient of variation (CV)-14.25393627
Kurtosis87.58736288
Mean-0.006256544503
Median Absolute Deviation (MAD)0
Skewness-4.439377824
Sum-2.39
Variance0.007953141361
MonotonicityNot monotonic
2022-03-24T10:35:01.586599image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0376
98.4%
-0.542
 
0.5%
-0.561
 
0.3%
-1.071
 
0.3%
-0.531
 
0.3%
0.851
 
0.3%
ValueCountFrequency (%)
-1.071
 
0.3%
-0.561
 
0.3%
-0.542
 
0.5%
-0.531
 
0.3%
0376
98.4%
ValueCountFrequency (%)
0.851
 
0.3%
0376
98.4%
-0.531
 
0.3%
-0.542
 
0.5%
-0.561
 
0.3%

政金债-新债.36
Real number (ℝ)

ZEROS

Distinct19
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005183246073
Minimum-1.88
Maximum4.94
Zeros351
Zeros (%)91.9%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:35:01.624004image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.94
Range6.82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3152748964
Coefficient of variation (CV)60.82576284
Kurtosis165.2078079
Mean0.005183246073
Median Absolute Deviation (MAD)0
Skewness9.173598044
Sum1.98
Variance0.0993982603
MonotonicityNot monotonic
2022-03-24T10:35:01.659425image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0351
91.9%
-0.16
 
1.6%
-0.24
 
1.0%
0.22
 
0.5%
-0.32
 
0.5%
-1.882
 
0.5%
-0.492
 
0.5%
0.52
 
0.5%
4.941
 
0.3%
-0.41
 
0.3%
Other values (9)9
 
2.4%
ValueCountFrequency (%)
-1.882
0.5%
-0.991
0.3%
-0.51
0.3%
-0.492
0.5%
-0.41
0.3%
ValueCountFrequency (%)
4.941
0.3%
1.291
0.3%
0.91
0.3%
0.691
0.3%
0.591
0.3%

政金债-新债.37
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04070680628
Minimum-2.72
Maximum7.41
Zeros365
Zeros (%)95.5%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:35:01.698639image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.72
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7.41
Range10.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5422953771
Coefficient of variation (CV)13.3219829
Kurtosis137.333105
Mean0.04070680628
Median Absolute Deviation (MAD)0
Skewness10.55743734
Sum15.55
Variance0.294084276
MonotonicityNot monotonic
2022-03-24T10:35:01.732441image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0365
95.5%
0.23
 
0.8%
-0.941
 
0.3%
0.961
 
0.3%
1.691
 
0.3%
2.391
 
0.3%
0.51
 
0.3%
-0.21
 
0.3%
6.271
 
0.3%
-0.411
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-2.721
0.3%
-0.941
0.3%
-0.411
0.3%
-0.211
0.3%
-0.21
0.3%
ValueCountFrequency (%)
7.411
0.3%
6.271
0.3%
2.391
0.3%
1.691
0.3%
0.961
0.3%

政金债-新债.38
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001832460733
Minimum-0.7
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:35:01.764198image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03581511571
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.001832460733
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.7
Variance0.001282722513
MonotonicityNot monotonic
2022-03-24T10:35:01.794655image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.71
 
0.3%
ValueCountFrequency (%)
-0.71
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.71
 
0.3%

政金债-新债.39
Real number (ℝ)

ZEROS

Distinct346
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.77819372
Minimum-43.58
Maximum89.97
Zeros14
Zeros (%)3.7%
Negative54
Negative (%)14.1%
Memory size3.1 KiB
2022-03-24T10:35:01.838714image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-43.58
5-th percentile-4.043
Q11.695
median8.38
Q319.5025
95-th percentile45.7865
Maximum89.97
Range133.55
Interquartile range (IQR)17.8075

Descriptive statistics

Standard deviation16.94922783
Coefficient of variation (CV)1.326418131
Kurtosis2.662422586
Mean12.77819372
Median Absolute Deviation (MAD)7.68
Skewness1.274241846
Sum4881.27
Variance287.276324
MonotonicityNot monotonic
2022-03-24T10:35:01.886896image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
1.63
 
0.8%
0.73
 
0.8%
11.612
 
0.5%
0.82
 
0.5%
5.922
 
0.5%
4.132
 
0.5%
3.222
 
0.5%
7.222
 
0.5%
4.112
 
0.5%
Other values (336)348
91.1%
ValueCountFrequency (%)
-43.581
0.3%
-29.971
0.3%
-19.351
0.3%
-17.991
0.3%
-13.51
0.3%
ValueCountFrequency (%)
89.971
0.3%
77.441
0.3%
72.811
0.3%
71.651
0.3%
70.561
0.3%

政金债-新债.40
Real number (ℝ)

ZEROS

Distinct35
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06793193717
Minimum-3.42
Maximum5
Zeros316
Zeros (%)82.7%
Negative24
Negative (%)6.3%
Memory size3.1 KiB
2022-03-24T10:35:01.933141image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.42
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0.8
Maximum5
Range8.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5327797313
Coefficient of variation (CV)7.842846141
Kurtosis29.39935529
Mean0.06793193717
Median Absolute Deviation (MAD)0
Skewness2.674217755
Sum25.95
Variance0.2838542421
MonotonicityNot monotonic
2022-03-24T10:35:01.972299image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0316
82.7%
0.57
 
1.8%
-0.15
 
1.3%
15
 
1.3%
25
 
1.3%
0.34
 
1.0%
0.14
 
1.0%
-0.53
 
0.8%
0.23
 
0.8%
0.82
 
0.5%
Other values (25)28
 
7.3%
ValueCountFrequency (%)
-3.421
0.3%
-1.811
0.3%
-1.81
0.3%
-1.51
0.3%
-1.21
0.3%
ValueCountFrequency (%)
51
 
0.3%
2.71
 
0.3%
2.521
 
0.3%
2.091
 
0.3%
25
1.3%

政金债-新债.41
Real number (ℝ)

ZEROS

Distinct46
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05002617801
Minimum-3.38
Maximum5
Zeros313
Zeros (%)81.9%
Negative29
Negative (%)7.6%
Memory size3.1 KiB
2022-03-24T10:35:02.017797image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.38
5-th percentile-0.4
Q10
median0
Q30
95-th percentile0.795
Maximum5
Range8.38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.64974879
Coefficient of variation (CV)12.98817571
Kurtosis21.83738291
Mean0.05002617801
Median Absolute Deviation (MAD)0
Skewness1.832171036
Sum19.11
Variance0.4221734901
MonotonicityNot monotonic
2022-03-24T10:35:02.061535image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0313
81.9%
0.57
 
1.8%
-0.54
 
1.0%
0.14
 
1.0%
-0.023
 
0.8%
1.012
 
0.5%
-1.012
 
0.5%
-0.12
 
0.5%
3.022
 
0.5%
-0.42
 
0.5%
Other values (36)41
 
10.7%
ValueCountFrequency (%)
-3.381
0.3%
-3.021
0.3%
-31
0.3%
-2.521
0.3%
-2.181
0.3%
ValueCountFrequency (%)
51
0.3%
4.021
0.3%
3.341
0.3%
3.022
0.5%
2.991
0.3%

政金债-新债.42
Real number (ℝ)

ZEROS

Distinct110
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2297120419
Minimum-12.11
Maximum8.13
Zeros182
Zeros (%)47.6%
Negative76
Negative (%)19.9%
Memory size3.1 KiB
2022-03-24T10:35:02.108433image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.11
5-th percentile-0.968
Q10
median0
Q30.4
95-th percentile2.0575
Maximum8.13
Range20.24
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation1.277055821
Coefficient of variation (CV)5.559376908
Kurtosis28.94485917
Mean0.2297120419
Median Absolute Deviation (MAD)0.045
Skewness-0.8217255555
Sum87.75
Variance1.63087157
MonotonicityNot monotonic
2022-03-24T10:35:02.157027image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0182
47.6%
0.59
 
2.4%
-0.29
 
2.4%
0.49
 
2.4%
0.18
 
2.1%
17
 
1.8%
-0.36
 
1.6%
0.26
 
1.6%
1.54
 
1.0%
0.34
 
1.0%
Other values (100)138
36.1%
ValueCountFrequency (%)
-12.111
0.3%
-4.231
0.3%
-2.911
0.3%
-2.631
0.3%
-2.251
0.3%
ValueCountFrequency (%)
8.131
0.3%
5.161
0.3%
5.091
0.3%
51
0.3%
4.841
0.3%

政金债-新债.43
Real number (ℝ)

ZEROS

Distinct63
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03238219895
Minimum-2.1
Maximum3.2
Zeros289
Zeros (%)75.7%
Negative43
Negative (%)11.3%
Memory size3.1 KiB
2022-03-24T10:35:02.512695image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.1
5-th percentile-0.4095
Q10
median0
Q30
95-th percentile0.5
Maximum3.2
Range5.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4667841965
Coefficient of variation (CV)14.41483937
Kurtosis19.11982354
Mean0.03238219895
Median Absolute Deviation (MAD)0
Skewness2.389247871
Sum12.37
Variance0.2178874861
MonotonicityNot monotonic
2022-03-24T10:35:02.561771image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0289
75.7%
0.16
 
1.6%
0.25
 
1.3%
0.34
 
1.0%
-0.14
 
1.0%
-0.33
 
0.8%
0.313
 
0.8%
-0.23
 
0.8%
-0.063
 
0.8%
0.042
 
0.5%
Other values (53)60
 
15.7%
ValueCountFrequency (%)
-2.11
0.3%
-1.991
0.3%
-1.521
0.3%
-1.291
0.3%
-1.241
0.3%
ValueCountFrequency (%)
3.21
0.3%
3.11
0.3%
2.661
0.3%
2.541
0.3%
2.211
0.3%

政金债-新债.44
Real number (ℝ)

ZEROS

Distinct177
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3855759162
Minimum-11.44
Maximum13.25
Zeros145
Zeros (%)38.0%
Negative99
Negative (%)25.9%
Memory size3.1 KiB
2022-03-24T10:35:02.610077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.44
5-th percentile-3.1445
Q1-0.09
median0
Q30.8
95-th percentile5.0965
Maximum13.25
Range24.69
Interquartile range (IQR)0.89

Descriptive statistics

Standard deviation2.551525622
Coefficient of variation (CV)6.61744034
Kurtosis5.563375458
Mean0.3855759162
Median Absolute Deviation (MAD)0.34
Skewness0.3881573317
Sum147.29
Variance6.510283001
MonotonicityNot monotonic
2022-03-24T10:35:02.656836image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0145
38.0%
0.27
 
1.8%
0.46
 
1.6%
-0.35
 
1.3%
-0.15
 
1.3%
-0.45
 
1.3%
0.15
 
1.3%
0.54
 
1.0%
-0.24
 
1.0%
0.73
 
0.8%
Other values (167)193
50.5%
ValueCountFrequency (%)
-11.441
0.3%
-9.671
0.3%
-8.971
0.3%
-7.81
0.3%
-7.631
0.3%
ValueCountFrequency (%)
13.251
0.3%
10.31
0.3%
9.41
0.3%
9.311
0.3%
8.31
0.3%

政金债-新债.45
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.617801047 × 10-5
Minimum-0.07
Maximum0.12
Zeros379
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:35:02.694224image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.07
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.12
Range0.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007406413164
Coefficient of variation (CV)282.9249829
Kurtosis204.1390533
Mean2.617801047 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.568284023
Sum0.01
Variance5.485495596 × 10-5
MonotonicityNot monotonic
2022-03-24T10:35:02.725734image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0379
99.2%
-0.041
 
0.3%
0.121
 
0.3%
-0.071
 
0.3%
ValueCountFrequency (%)
-0.071
 
0.3%
-0.041
 
0.3%
0379
99.2%
0.121
 
0.3%
ValueCountFrequency (%)
0.121
 
0.3%
0379
99.2%
-0.041
 
0.3%
-0.071
 
0.3%

政金债-新债.46
Real number (ℝ)

ZEROS

Distinct18
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001308900524
Minimum-0.6
Maximum1.19
Zeros357
Zeros (%)93.5%
Negative13
Negative (%)3.4%
Memory size3.1 KiB
2022-03-24T10:35:02.763048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.19
Range1.79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09265613268
Coefficient of variation (CV)70.78928537
Kurtosis84.26439438
Mean0.001308900524
Median Absolute Deviation (MAD)0
Skewness4.915714752
Sum0.5
Variance0.008585158923
MonotonicityNot monotonic
2022-03-24T10:35:02.798772image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0357
93.5%
0.15
 
1.3%
-0.13
 
0.8%
-0.082
 
0.5%
0.52
 
0.5%
0.41
 
0.3%
-0.41
 
0.3%
-0.211
 
0.3%
-0.451
 
0.3%
1.191
 
0.3%
Other values (8)8
 
2.1%
ValueCountFrequency (%)
-0.61
0.3%
-0.51
0.3%
-0.451
0.3%
-0.41
0.3%
-0.211
0.3%
ValueCountFrequency (%)
1.191
 
0.3%
0.52
 
0.5%
0.41
 
0.3%
0.21
 
0.3%
0.15
1.3%

政金债-新债.47
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002617801047
Minimum0
Maximum0.1
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:02.835942image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1
Range0.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005116445101
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0002617801047
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.1
Variance2.617801047 × 10-5
MonotonicityNot monotonic
2022-03-24T10:35:02.867619image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.11
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.11
 
0.3%
ValueCountFrequency (%)
0.11
 
0.3%
0381
99.7%

政金债-新债.49
Real number (ℝ)

ZEROS

Distinct256
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7671727749
Minimum-15.5
Maximum10.81
Zeros49
Zeros (%)12.8%
Negative126
Negative (%)33.0%
Memory size3.1 KiB
2022-03-24T10:35:02.908821image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.5
5-th percentile-3.3035
Q1-0.2775
median0.2
Q31.7975
95-th percentile6.094
Maximum10.81
Range26.31
Interquartile range (IQR)2.075

Descriptive statistics

Standard deviation2.986767908
Coefficient of variation (CV)3.893214157
Kurtosis4.521964221
Mean0.7671727749
Median Absolute Deviation (MAD)1.13
Skewness-0.08121346092
Sum293.06
Variance8.920782537
MonotonicityNot monotonic
2022-03-24T10:35:02.959130image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049
 
12.8%
-0.18
 
2.1%
0.27
 
1.8%
0.36
 
1.6%
0.15
 
1.3%
0.54
 
1.0%
-0.24
 
1.0%
-0.44
 
1.0%
-0.023
 
0.8%
0.43
 
0.8%
Other values (246)289
75.7%
ValueCountFrequency (%)
-15.51
0.3%
-13.061
0.3%
-8.871
0.3%
-7.81
0.3%
-6.731
0.3%
ValueCountFrequency (%)
10.811
0.3%
10.571
0.3%
10.31
0.3%
10.141
0.3%
10.051
0.3%

政金债-新债.50
Real number (ℝ)

ZEROS

Distinct61
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04732984293
Minimum-15.95
Maximum19.53
Zeros293
Zeros (%)76.7%
Negative39
Negative (%)10.2%
Memory size3.1 KiB
2022-03-24T10:35:03.007453image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.95
5-th percentile-1.49
Q10
median0
Q30
95-th percentile1.79
Maximum19.53
Range35.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.850349812
Coefficient of variation (CV)39.09478032
Kurtosis51.70641643
Mean0.04732984293
Median Absolute Deviation (MAD)0
Skewness1.822499586
Sum18.08
Variance3.423794426
MonotonicityNot monotonic
2022-03-24T10:35:03.055028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0293
76.7%
18
 
2.1%
0.56
 
1.6%
-0.56
 
1.6%
-14
 
1.0%
1.53
 
0.8%
0.22
 
0.5%
-0.62
 
0.5%
0.42
 
0.5%
22
 
0.5%
Other values (51)54
 
14.1%
ValueCountFrequency (%)
-15.951
0.3%
-6.91
0.3%
-6.491
0.3%
-6.091
0.3%
-5.61
0.3%
ValueCountFrequency (%)
19.531
0.3%
11.891
0.3%
5.51
0.3%
51
0.3%
4.51
0.3%

政金债-新债.51
Real number (ℝ)

ZEROS

Distinct68
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04761780105
Minimum-13.35
Maximum6.99
Zeros282
Zeros (%)73.8%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:35:03.103737image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.35
5-th percentile-0.999
Q10
median0
Q30
95-th percentile1.4095
Maximum6.99
Range20.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.537829479
Coefficient of variation (CV)-32.29526449
Kurtosis28.48910089
Mean-0.04761780105
Median Absolute Deviation (MAD)0
Skewness-3.343756008
Sum-18.19
Variance2.364919507
MonotonicityNot monotonic
2022-03-24T10:35:03.151825image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0282
73.8%
0.510
 
2.6%
-0.58
 
2.1%
-0.14
 
1.0%
14
 
1.0%
-0.43
 
0.8%
0.43
 
0.8%
0.292
 
0.5%
0.12
 
0.5%
1.012
 
0.5%
Other values (58)62
 
16.2%
ValueCountFrequency (%)
-13.351
0.3%
-11.551
0.3%
-7.961
0.3%
-7.21
0.3%
-6.051
0.3%
ValueCountFrequency (%)
6.991
0.3%
5.621
0.3%
4.91
0.3%
4.891
0.3%
41
0.3%

政金债-新债.52
Real number (ℝ)

ZEROS

Distinct109
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02295811518
Minimum-9.95
Maximum17.25
Zeros204
Zeros (%)53.4%
Negative89
Negative (%)23.3%
Memory size3.1 KiB
2022-03-24T10:35:03.202534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.95
5-th percentile-1.9995
Q10
median0
Q30
95-th percentile1.5975
Maximum17.25
Range27.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.741915678
Coefficient of variation (CV)-75.87363614
Kurtosis31.90278673
Mean-0.02295811518
Median Absolute Deviation (MAD)0
Skewness2.012222773
Sum-8.77
Variance3.034270229
MonotonicityNot monotonic
2022-03-24T10:35:03.250770image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0204
53.4%
0.510
 
2.6%
0.17
 
1.8%
-0.56
 
1.6%
-0.35
 
1.3%
-0.25
 
1.3%
-0.15
 
1.3%
0.495
 
1.3%
-0.054
 
1.0%
-0.74
 
1.0%
Other values (99)127
33.2%
ValueCountFrequency (%)
-9.951
0.3%
-8.041
0.3%
-6.381
0.3%
-6.021
0.3%
-5.011
0.3%
ValueCountFrequency (%)
17.251
0.3%
8.021
0.3%
7.41
0.3%
6.961
0.3%
4.411
0.3%

政金债-新债.53
Real number (ℝ)

ZEROS

Distinct61
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005863874346
Minimum-5.38
Maximum4.22
Zeros278
Zeros (%)72.8%
Negative60
Negative (%)15.7%
Memory size3.1 KiB
2022-03-24T10:35:03.297417image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.38
5-th percentile-0.51
Q10
median0
Q30
95-th percentile0.5195
Maximum4.22
Range9.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.683337235
Coefficient of variation (CV)-116.5334035
Kurtosis23.21245193
Mean-0.005863874346
Median Absolute Deviation (MAD)0
Skewness-0.2944823359
Sum-2.24
Variance0.4669497767
MonotonicityNot monotonic
2022-03-24T10:35:03.344814image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0278
72.8%
-0.312
 
3.1%
-0.19
 
2.4%
-0.56
 
1.6%
0.55
 
1.3%
-0.24
 
1.0%
0.14
 
1.0%
0.33
 
0.8%
-0.052
 
0.5%
0.22
 
0.5%
Other values (51)57
 
14.9%
ValueCountFrequency (%)
-5.381
0.3%
-3.951
0.3%
-2.881
0.3%
-2.451
0.3%
-2.051
0.3%
ValueCountFrequency (%)
4.221
0.3%
3.521
0.3%
3.391
0.3%
3.121
0.3%
3.011
0.3%

政金债-新债.54
Real number (ℝ)

ZEROS

Distinct210
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1909947644
Minimum-14.56
Maximum15.67
Zeros102
Zeros (%)26.7%
Negative120
Negative (%)31.4%
Memory size3.1 KiB
2022-03-24T10:35:03.393772image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-14.56
5-th percentile-3.649
Q1-0.4
median0
Q31.145
95-th percentile4.477
Maximum15.67
Range30.23
Interquartile range (IQR)1.545

Descriptive statistics

Standard deviation2.847532625
Coefficient of variation (CV)14.90895645
Kurtosis8.615511713
Mean0.1909947644
Median Absolute Deviation (MAD)0.79
Skewness-0.5779344952
Sum72.96
Variance8.108442052
MonotonicityNot monotonic
2022-03-24T10:35:03.441408image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0102
26.7%
0.27
 
1.8%
0.16
 
1.6%
0.36
 
1.6%
-0.16
 
1.6%
-0.55
 
1.3%
-0.25
 
1.3%
15
 
1.3%
-1.014
 
1.0%
-13
 
0.8%
Other values (200)233
61.0%
ValueCountFrequency (%)
-14.561
0.3%
-14.441
0.3%
-14.211
0.3%
-10.731
0.3%
-9.241
0.3%
ValueCountFrequency (%)
15.671
0.3%
9.991
0.3%
9.771
0.3%
8.61
0.3%
8.041
0.3%

政金债-新债.55
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001596858639
Minimum0
Maximum0.54
Zeros380
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:03.480036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.54
Range0.54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02785064762
Coefficient of variation (CV)17.44089736
Kurtosis369.4679758
Mean0.001596858639
Median Absolute Deviation (MAD)0
Skewness19.10104186
Sum0.61
Variance0.0007756585728
MonotonicityNot monotonic
2022-03-24T10:35:03.513124image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
0.541
 
0.3%
0.071
 
0.3%
ValueCountFrequency (%)
0380
99.5%
0.071
 
0.3%
0.541
 
0.3%
ValueCountFrequency (%)
0.541
 
0.3%
0.071
 
0.3%
0380
99.5%

政金债-新债.56
Real number (ℝ)

ZEROS

Distinct14
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03382198953
Minimum-3.99
Maximum0.6
Zeros368
Zeros (%)96.3%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:35:03.546510image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.99
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.6
Range4.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3096625032
Coefficient of variation (CV)-9.155656053
Kurtosis98.57072866
Mean-0.03382198953
Median Absolute Deviation (MAD)0
Skewness-9.414738185
Sum-12.92
Variance0.09589086587
MonotonicityNot monotonic
2022-03-24T10:35:03.581939image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0368
96.3%
-0.12
 
0.5%
0.051
 
0.3%
-0.021
 
0.3%
0.51
 
0.3%
0.11
 
0.3%
-0.61
 
0.3%
0.61
 
0.3%
-2.191
 
0.3%
-3.991
 
0.3%
Other values (4)4
 
1.0%
ValueCountFrequency (%)
-3.991
0.3%
-2.691
0.3%
-2.391
0.3%
-2.191
0.3%
-1.291
0.3%
ValueCountFrequency (%)
0.61
 
0.3%
0.51
 
0.3%
0.11
 
0.3%
0.051
 
0.3%
0368
96.3%

政金债-新债.57
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006439790576
Minimum-1.42
Maximum0
Zeros380
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:35:03.614844image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.42
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.089942503
Coefficient of variation (CV)-13.96668136
Kurtosis206.1419277
Mean-0.006439790576
Median Absolute Deviation (MAD)0
Skewness-14.24581011
Sum-2.46
Variance0.008089653846
MonotonicityNot monotonic
2022-03-24T10:35:03.645764image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
-1.421
 
0.3%
-1.041
 
0.3%
ValueCountFrequency (%)
-1.421
 
0.3%
-1.041
 
0.3%
0380
99.5%
ValueCountFrequency (%)
0380
99.5%
-1.041
 
0.3%
-1.421
 
0.3%

政金债-新债.59
Real number (ℝ)

ZEROS

Distinct279
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1232198953
Minimum-18.79
Maximum19.76
Zeros47
Zeros (%)12.3%
Negative155
Negative (%)40.6%
Memory size3.1 KiB
2022-03-24T10:35:03.690479image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.79
5-th percentile-6.7295
Q1-1.545
median0
Q31.825
95-th percentile6.83
Maximum19.76
Range38.55
Interquartile range (IQR)3.37

Descriptive statistics

Standard deviation4.184728247
Coefficient of variation (CV)33.96146569
Kurtosis5.233747709
Mean0.1232198953
Median Absolute Deviation (MAD)1.71
Skewness-0.280305606
Sum47.07
Variance17.5119505
MonotonicityNot monotonic
2022-03-24T10:35:03.740277image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047
 
12.3%
0.27
 
1.8%
0.56
 
1.6%
15
 
1.3%
-0.13
 
0.8%
0.43
 
0.8%
-1.123
 
0.8%
0.13
 
0.8%
-0.613
 
0.8%
-0.33
 
0.8%
Other values (269)299
78.3%
ValueCountFrequency (%)
-18.791
0.3%
-18.531
0.3%
-17.751
0.3%
-15.241
0.3%
-15.051
0.3%
ValueCountFrequency (%)
19.761
0.3%
17.131
0.3%
16.711
0.3%
10.331
0.3%
9.911
0.3%

政金债-新债.60
Real number (ℝ)

ZEROS

Distinct84
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.224921466
Minimum-1
Maximum24.3
Zeros233
Zeros (%)61.0%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:35:03.790604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31.45
95-th percentile6.509
Maximum24.3
Range25.3
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation2.702865082
Coefficient of variation (CV)2.206561937
Kurtosis19.94764789
Mean1.224921466
Median Absolute Deviation (MAD)0
Skewness3.773981461
Sum467.92
Variance7.305479653
MonotonicityNot monotonic
2022-03-24T10:35:03.838199image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0233
61.0%
0.519
 
5.0%
0.37
 
1.8%
16
 
1.6%
0.45
 
1.3%
1.55
 
1.3%
2.45
 
1.3%
1.64
 
1.0%
2.64
 
1.0%
3.54
 
1.0%
Other values (74)90
 
23.6%
ValueCountFrequency (%)
-11
 
0.3%
-0.71
 
0.3%
-0.41
 
0.3%
0233
61.0%
0.11
 
0.3%
ValueCountFrequency (%)
24.31
0.3%
15.991
0.3%
14.981
0.3%
13.981
0.3%
13.111
0.3%

政金债-新债.61
Real number (ℝ)

ZEROS

Distinct43
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2312041885
Minimum-1.31
Maximum5.98
Zeros321
Zeros (%)84.0%
Negative4
Negative (%)1.0%
Memory size3.1 KiB
2022-03-24T10:35:03.885124image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.31
5-th percentile0
Q10
median0
Q30
95-th percentile1.7995
Maximum5.98
Range7.29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7928516691
Coefficient of variation (CV)3.429227101
Kurtosis19.27917748
Mean0.2312041885
Median Absolute Deviation (MAD)0
Skewness4.116862141
Sum88.32
Variance0.6286137692
MonotonicityNot monotonic
2022-03-24T10:35:03.933554image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0321
84.0%
0.58
 
2.1%
0.35
 
1.3%
13
 
0.8%
1.013
 
0.8%
1.22
 
0.5%
2.692
 
0.5%
0.12
 
0.5%
0.22
 
0.5%
-0.51
 
0.3%
Other values (33)33
 
8.6%
ValueCountFrequency (%)
-1.311
 
0.3%
-11
 
0.3%
-0.51
 
0.3%
-0.21
 
0.3%
0321
84.0%
ValueCountFrequency (%)
5.981
0.3%
5.331
0.3%
4.761
0.3%
4.151
0.3%
3.641
0.3%

政金债-新债.62
Real number (ℝ)

ZEROS

Distinct64
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3173036649
Minimum-3.14
Maximum8.91
Zeros277
Zeros (%)72.5%
Negative14
Negative (%)3.7%
Memory size3.1 KiB
2022-03-24T10:35:03.984813image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.14
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8.91
Range12.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.032278934
Coefficient of variation (CV)3.253283993
Kurtosis24.431635
Mean0.3173036649
Median Absolute Deviation (MAD)0
Skewness3.946260332
Sum121.21
Variance1.065599797
MonotonicityNot monotonic
2022-03-24T10:35:04.035462image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277
72.5%
0.59
 
2.4%
1.017
 
1.8%
0.26
 
1.6%
0.515
 
1.3%
14
 
1.0%
1.993
 
0.8%
-0.513
 
0.8%
0.33
 
0.8%
-13
 
0.8%
Other values (54)62
 
16.2%
ValueCountFrequency (%)
-3.141
 
0.3%
-2.021
 
0.3%
-2.011
 
0.3%
-21
 
0.3%
-13
0.8%
ValueCountFrequency (%)
8.911
0.3%
7.91
0.3%
61
0.3%
4.991
0.3%
4.861
0.3%

政金债-新债.63
Real number (ℝ)

ZEROS

Distinct29
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1356020942
Minimum-0.61
Maximum5.15
Zeros336
Zeros (%)88.0%
Negative9
Negative (%)2.4%
Memory size3.1 KiB
2022-03-24T10:35:04.079169image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.61
5-th percentile0
Q10
median0
Q30
95-th percentile1.01
Maximum5.15
Range5.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6233804455
Coefficient of variation (CV)4.597129926
Kurtosis35.04460605
Mean0.1356020942
Median Absolute Deviation (MAD)0
Skewness5.663237598
Sum51.8
Variance0.3886031798
MonotonicityNot monotonic
2022-03-24T10:35:04.117236image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0336
88.0%
-0.15
 
1.3%
1.024
 
1.0%
0.213
 
0.8%
0.13
 
0.8%
0.513
 
0.8%
0.712
 
0.5%
0.32
 
0.5%
4.072
 
0.5%
-0.412
 
0.5%
Other values (19)20
 
5.2%
ValueCountFrequency (%)
-0.611
 
0.3%
-0.412
 
0.5%
-0.21
 
0.3%
-0.15
 
1.3%
0336
88.0%
ValueCountFrequency (%)
5.151
0.3%
5.091
0.3%
4.072
0.5%
3.551
0.3%
3.511
0.3%

政金债-新债.64
Real number (ℝ)

ZEROS

Distinct184
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.558638743
Minimum-15.92
Maximum39.27
Zeros157
Zeros (%)41.1%
Negative61
Negative (%)16.0%
Memory size3.1 KiB
2022-03-24T10:35:04.163028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.92
5-th percentile-2.9575
Q10
median0
Q31.8075
95-th percentile10.7175
Maximum39.27
Range55.19
Interquartile range (IQR)1.8075

Descriptive statistics

Standard deviation5.311397168
Coefficient of variation (CV)3.407715348
Kurtosis14.64398911
Mean1.558638743
Median Absolute Deviation (MAD)0.445
Skewness2.884378115
Sum595.4
Variance28.21093987
MonotonicityNot monotonic
2022-03-24T10:35:04.208813image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0157
41.1%
0.27
 
1.8%
0.16
 
1.6%
-0.25
 
1.3%
0.55
 
1.3%
0.295
 
1.3%
0.34
 
1.0%
-0.53
 
0.8%
1.013
 
0.8%
1.482
 
0.5%
Other values (174)185
48.4%
ValueCountFrequency (%)
-15.921
0.3%
-13.31
0.3%
-11.591
0.3%
-9.751
0.3%
-8.661
0.3%
ValueCountFrequency (%)
39.271
0.3%
35.771
0.3%
25.431
0.3%
24.911
0.3%
21.811
0.3%

政金债-新债.65
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001518324607
Minimum-2.18
Maximum2.16
Zeros376
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:35:04.248778image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.18
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.16
Range4.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1695332435
Coefficient of variation (CV)111.6581018
Kurtosis142.8042062
Mean0.001518324607
Median Absolute Deviation (MAD)0
Skewness-0.2488224458
Sum0.58
Variance0.02874152066
MonotonicityNot monotonic
2022-03-24T10:35:04.279123image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0376
98.4%
0.671
 
0.3%
0.221
 
0.3%
0.561
 
0.3%
-0.851
 
0.3%
2.161
 
0.3%
-2.181
 
0.3%
ValueCountFrequency (%)
-2.181
 
0.3%
-0.851
 
0.3%
0376
98.4%
0.221
 
0.3%
0.561
 
0.3%
ValueCountFrequency (%)
2.161
 
0.3%
0.671
 
0.3%
0.561
 
0.3%
0.221
 
0.3%
0376
98.4%

政金债-新债.66
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0008376963351
Minimum-0.32
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:35:04.310087image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.32
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01637262432
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.0008376963351
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.32
Variance0.0002680628272
MonotonicityNot monotonic
2022-03-24T10:35:04.341230image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.321
 
0.3%
ValueCountFrequency (%)
-0.321
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.321
 
0.3%

政金债-新债.67
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005497382199
Minimum0
Maximum0.21
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:04.374860image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.21
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01074453471
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.0005497382199
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.21
Variance0.0001154450262
MonotonicityNot monotonic
2022-03-24T10:35:04.404446image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.211
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.211
 
0.3%
ValueCountFrequency (%)
0.211
 
0.3%
0381
99.7%

政金债-新债.69
Real number (ℝ)

ZEROS

Distinct263
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.469031414
Minimum-15.92
Maximum40.16
Zeros61
Zeros (%)16.0%
Negative52
Negative (%)13.6%
Memory size3.1 KiB
2022-03-24T10:35:04.444931image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-15.92
5-th percentile-2.389
Q10
median1.735
Q35.0825
95-th percentile14.7585
Maximum40.16
Range56.08
Interquartile range (IQR)5.0825

Descriptive statistics

Standard deviation6.313477094
Coefficient of variation (CV)1.819953855
Kurtosis8.142668823
Mean3.469031414
Median Absolute Deviation (MAD)1.735
Skewness2.143109704
Sum1325.17
Variance39.85999302
MonotonicityNot monotonic
2022-03-24T10:35:04.489731image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
061
 
16.0%
0.56
 
1.6%
0.35
 
1.3%
1.014
 
1.0%
0.14
 
1.0%
0.24
 
1.0%
0.83
 
0.8%
13
 
0.8%
2.63
 
0.8%
1.513
 
0.8%
Other values (253)286
74.9%
ValueCountFrequency (%)
-15.921
0.3%
-15.311
0.3%
-11.591
0.3%
-7.931
0.3%
-7.821
0.3%
ValueCountFrequency (%)
40.161
0.3%
36.761
0.3%
36.051
0.3%
26.611
0.3%
25.921
0.3%

政金债-新债.70
Real number (ℝ)

ZEROS

Distinct87
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7769371728
Minimum-16.8
Maximum6.1
Zeros222
Zeros (%)58.1%
Negative132
Negative (%)34.6%
Memory size3.1 KiB
2022-03-24T10:35:04.536602image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.8
5-th percentile-4.2855
Q1-0.9
median0
Q30
95-th percentile0.5
Maximum6.1
Range22.9
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation2.147141246
Coefficient of variation (CV)-2.763597007
Kurtosis17.73826981
Mean-0.7769371728
Median Absolute Deviation (MAD)0
Skewness-3.348298969
Sum-296.79
Variance4.610215529
MonotonicityNot monotonic
2022-03-24T10:35:04.583806image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0222
58.1%
-110
 
2.6%
-0.210
 
2.6%
-0.36
 
1.6%
-1.496
 
1.6%
0.56
 
1.6%
-0.56
 
1.6%
-0.15
 
1.3%
-0.95
 
1.3%
14
 
1.0%
Other values (77)102
26.7%
ValueCountFrequency (%)
-16.81
0.3%
-14.551
0.3%
-12.91
0.3%
-11.791
0.3%
-8.891
0.3%
ValueCountFrequency (%)
6.11
 
0.3%
5.991
 
0.3%
2.11
 
0.3%
23
0.8%
1.81
 
0.3%

政金债-新债.71
Real number (ℝ)

ZEROS

Distinct94
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.655
Minimum-16.15
Maximum5.3
Zeros223
Zeros (%)58.4%
Negative128
Negative (%)33.5%
Memory size3.1 KiB
2022-03-24T10:35:04.632996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-16.15
5-th percentile-4.0975
Q1-0.5
median0
Q30
95-th percentile0.5
Maximum5.3
Range21.45
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.970575245
Coefficient of variation (CV)-3.008511825
Kurtosis21.1439217
Mean-0.655
Median Absolute Deviation (MAD)0
Skewness-3.781109428
Sum-250.21
Variance3.883166798
MonotonicityNot monotonic
2022-03-24T10:35:04.678811image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0223
58.4%
-0.513
 
3.4%
-0.212
 
3.1%
0.16
 
1.6%
-0.35
 
1.3%
-0.15
 
1.3%
0.55
 
1.3%
-0.64
 
1.0%
-0.73
 
0.8%
-1.33
 
0.8%
Other values (84)103
27.0%
ValueCountFrequency (%)
-16.151
0.3%
-13.951
0.3%
-12.131
0.3%
-10.611
0.3%
-10.291
0.3%
ValueCountFrequency (%)
5.31
0.3%
3.391
0.3%
3.221
0.3%
2.511
0.3%
2.411
0.3%

政金债-新债.72
Real number (ℝ)

ZEROS

Distinct172
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.372722513
Minimum-28.4
Maximum6.73
Zeros99
Zeros (%)25.9%
Negative191
Negative (%)50.0%
Memory size3.1 KiB
2022-03-24T10:35:04.725830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.4
5-th percentile-7.7675
Q1-1.7
median-0.05
Q30
95-th percentile1.7995
Maximum6.73
Range35.13
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation3.619215765
Coefficient of variation (CV)-2.636523937
Kurtosis13.73771378
Mean-1.372722513
Median Absolute Deviation (MAD)0.76
Skewness-2.998468267
Sum-524.38
Variance13.09872275
MonotonicityNot monotonic
2022-03-24T10:35:04.772419image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
099
25.9%
0.59
 
2.4%
0.29
 
2.4%
-0.58
 
2.1%
0.47
 
1.8%
-0.37
 
1.8%
-0.17
 
1.8%
-0.46
 
1.6%
0.16
 
1.6%
-1.016
 
1.6%
Other values (162)218
57.1%
ValueCountFrequency (%)
-28.41
0.3%
-20.191
0.3%
-18.161
0.3%
-17.631
0.3%
-16.681
0.3%
ValueCountFrequency (%)
6.731
0.3%
6.612
0.5%
5.211
0.3%
4.311
0.3%
3.441
0.3%

政金债-新债.73
Real number (ℝ)

ZEROS

Distinct109
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8394502618
Minimum-29.78
Maximum4.7
Zeros237
Zeros (%)62.0%
Negative107
Negative (%)28.0%
Memory size3.1 KiB
2022-03-24T10:35:04.821966image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.78
5-th percentile-5.757
Q1-0.2
median0
Q30
95-th percentile0.6095
Maximum4.7
Range34.48
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation3.125586553
Coefficient of variation (CV)-3.723373135
Kurtosis34.98064924
Mean-0.8394502618
Median Absolute Deviation (MAD)0
Skewness-5.255818867
Sum-320.67
Variance9.769291298
MonotonicityNot monotonic
2022-03-24T10:35:04.868052image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0237
62.0%
-0.29
 
2.4%
-0.16
 
1.6%
-0.55
 
1.3%
-0.84
 
1.0%
-0.63
 
0.8%
0.13
 
0.8%
0.23
 
0.8%
-0.612
 
0.5%
-0.32
 
0.5%
Other values (99)108
28.3%
ValueCountFrequency (%)
-29.781
0.3%
-22.71
0.3%
-21.551
0.3%
-19.911
0.3%
-14.91
0.3%
ValueCountFrequency (%)
4.71
0.3%
3.041
0.3%
2.691
0.3%
2.341
0.3%
2.331
0.3%

政金债-新债.74
Real number (ℝ)

ZEROS

Distinct270
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.87882199
Minimum-56.94
Maximum32.62
Zeros52
Zeros (%)13.6%
Negative240
Negative (%)62.8%
Memory size3.1 KiB
2022-03-24T10:35:04.919078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.94
5-th percentile-21.248
Q1-5.9725
median-1.19
Q30
95-th percentile5.148
Maximum32.62
Range89.56
Interquartile range (IQR)5.9725

Descriptive statistics

Standard deviation8.945210242
Coefficient of variation (CV)-2.306166735
Kurtosis6.531492307
Mean-3.87882199
Median Absolute Deviation (MAD)2.27
Skewness-1.732081706
Sum-1481.71
Variance80.01678627
MonotonicityNot monotonic
2022-03-24T10:35:04.965723image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052
 
13.6%
0.38
 
2.1%
0.17
 
1.8%
-0.55
 
1.3%
-0.35
 
1.3%
1.013
 
0.8%
-0.83
 
0.8%
-53
 
0.8%
-0.813
 
0.8%
-1.413
 
0.8%
Other values (260)290
75.9%
ValueCountFrequency (%)
-56.941
0.3%
-39.831
0.3%
-39.351
0.3%
-38.631
0.3%
-37.371
0.3%
ValueCountFrequency (%)
32.621
0.3%
17.621
0.3%
15.71
0.3%
14.761
0.3%
13.11
0.3%

政金债-新债.75
Real number (ℝ)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001439790576
Minimum-0.55
Maximum0
Zeros381
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:35:05.001413image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.55
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02814044806
Coefficient of variation (CV)-19.54482029
Kurtosis382
Mean-0.001439790576
Median Absolute Deviation (MAD)0
Skewness-19.54482029
Sum-0.55
Variance0.0007918848168
MonotonicityNot monotonic
2022-03-24T10:35:05.030482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
-0.551
 
0.3%
ValueCountFrequency (%)
-0.551
 
0.3%
0381
99.7%
ValueCountFrequency (%)
0381
99.7%
-0.551
 
0.3%

政金债-新债.76
Real number (ℝ)

ZEROS

Distinct35
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1255497382
Minimum-9.83
Maximum1.49
Zeros339
Zeros (%)88.7%
Negative35
Negative (%)9.2%
Memory size3.1 KiB
2022-03-24T10:35:05.069726image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.83
5-th percentile-0.69
Q10
median0
Q30
95-th percentile0
Maximum1.49
Range11.32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74399968
Coefficient of variation (CV)-5.925935733
Kurtosis89.92400654
Mean-0.1255497382
Median Absolute Deviation (MAD)0
Skewness-8.393991734
Sum-47.96
Variance0.5535355238
MonotonicityNot monotonic
2022-03-24T10:35:05.113377image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0339
88.7%
-0.55
 
1.3%
-0.692
 
0.5%
-0.12
 
0.5%
-12
 
0.5%
-1.192
 
0.5%
-0.32
 
0.5%
-0.41
 
0.3%
-9.831
 
0.3%
0.11
 
0.3%
Other values (25)25
 
6.5%
ValueCountFrequency (%)
-9.831
0.3%
-5.561
0.3%
-4.751
0.3%
-3.891
0.3%
-3.871
0.3%
ValueCountFrequency (%)
1.491
0.3%
1.191
0.3%
0.851
0.3%
0.541
0.3%
0.511
0.3%

政金债-新债.77
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06732984293
Minimum-6.57
Maximum0.52
Zeros374
Zeros (%)97.9%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:35:05.152772image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.57
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.52
Range7.09
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5916347663
Coefficient of variation (CV)-8.787110448
Kurtosis84.75310685
Mean-0.06732984293
Median Absolute Deviation (MAD)0
Skewness-9.062761062
Sum-25.72
Variance0.3500316967
MonotonicityNot monotonic
2022-03-24T10:35:05.185449image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0374
97.9%
-6.071
 
0.3%
-4.891
 
0.3%
-1.31
 
0.3%
-6.571
 
0.3%
0.211
 
0.3%
0.521
 
0.3%
-3.551
 
0.3%
-4.071
 
0.3%
ValueCountFrequency (%)
-6.571
0.3%
-6.071
0.3%
-4.891
0.3%
-4.071
0.3%
-3.551
0.3%
ValueCountFrequency (%)
0.521
 
0.3%
0.211
 
0.3%
0374
97.9%
-1.31
 
0.3%
-3.551
 
0.3%

政金债-新债.79
Real number (ℝ)

ZEROS

Distinct339
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.717277487
Minimum-54.99
Maximum31.39
Zeros18
Zeros (%)4.7%
Negative298
Negative (%)78.0%
Memory size3.1 KiB
2022-03-24T10:35:05.230131image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-54.99
5-th percentile-30.2495
Q1-12.3325
median-4.255
Q3-0.525
95-th percentile3.927
Maximum31.39
Range86.38
Interquartile range (IQR)11.8075

Descriptive statistics

Standard deviation11.07654593
Coefficient of variation (CV)-1.435291908
Kurtosis2.867227928
Mean-7.717277487
Median Absolute Deviation (MAD)4.675
Skewness-1.233002918
Sum-2948
Variance122.6898697
MonotonicityNot monotonic
2022-03-24T10:35:05.273371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.34
 
1.0%
-1.414
 
1.0%
-1.113
 
0.8%
-4.073
 
0.8%
-22.772
 
0.5%
-2.62
 
0.5%
-102
 
0.5%
0.22
 
0.5%
-8.122
 
0.5%
Other values (329)340
89.0%
ValueCountFrequency (%)
-54.991
0.3%
-54.731
0.3%
-51.881
0.3%
-48.111
0.3%
-43.051
0.3%
ValueCountFrequency (%)
31.391
0.3%
20.31
0.3%
15.381
0.3%
14.561
0.3%
11.21
0.3%

政金债-新债.80
Real number (ℝ)

ZEROS

Distinct142
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.300994764
Minimum-20.88
Maximum14.76
Zeros148
Zeros (%)38.7%
Negative177
Negative (%)46.3%
Memory size3.1 KiB
2022-03-24T10:35:05.318626image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-20.88
5-th percentile-8.4515
Q1-1.97
median0
Q30
95-th percentile1.89
Maximum14.76
Range35.64
Interquartile range (IQR)1.97

Descriptive statistics

Standard deviation3.353940614
Coefficient of variation (CV)-2.577981638
Kurtosis6.308362747
Mean-1.300994764
Median Absolute Deviation (MAD)0.5
Skewness-1.265504264
Sum-496.98
Variance11.24891764
MonotonicityNot monotonic
2022-03-24T10:35:05.367800image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0148
38.7%
-0.59
 
2.4%
-17
 
1.8%
0.57
 
1.8%
-0.36
 
1.6%
-0.25
 
1.3%
-0.75
 
1.3%
0.25
 
1.3%
-0.95
 
1.3%
-0.45
 
1.3%
Other values (132)180
47.1%
ValueCountFrequency (%)
-20.881
0.3%
-13.951
0.3%
-12.431
0.3%
-12.391
0.3%
-12.291
0.3%
ValueCountFrequency (%)
14.761
0.3%
10.721
0.3%
9.861
0.3%
6.711
0.3%
5.41
0.3%

政金债-新债.81
Real number (ℝ)

ZEROS

Distinct142
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3253664921
Minimum-17.63
Maximum14.1
Zeros146
Zeros (%)38.2%
Negative149
Negative (%)39.0%
Memory size3.1 KiB
2022-03-24T10:35:05.725107image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-17.63
5-th percentile-3.8995
Q1-1
median0
Q30
95-th percentile2.61
Maximum14.1
Range31.73
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.737501351
Coefficient of variation (CV)-8.413593338
Kurtosis11.82906285
Mean-0.3253664921
Median Absolute Deviation (MAD)0.5
Skewness0.04089792668
Sum-124.29
Variance7.493913645
MonotonicityNot monotonic
2022-03-24T10:35:05.771542image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0146
38.2%
-110
 
2.6%
0.37
 
1.8%
-0.47
 
1.8%
-0.17
 
1.8%
-0.36
 
1.6%
0.56
 
1.6%
-0.56
 
1.6%
0.16
 
1.6%
-0.76
 
1.6%
Other values (132)175
45.8%
ValueCountFrequency (%)
-17.631
0.3%
-11.991
0.3%
-11.611
0.3%
-10.591
0.3%
-10.491
0.3%
ValueCountFrequency (%)
14.11
0.3%
13.521
0.3%
11.491
0.3%
11.041
0.3%
101
0.3%

政金债-新债.82
Real number (ℝ)

ZEROS

Distinct228
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6055235602
Minimum-21.13
Maximum19.42
Zeros63
Zeros (%)16.5%
Negative203
Negative (%)53.1%
Memory size3.1 KiB
2022-03-24T10:35:05.821125image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.13
5-th percentile-6.572
Q1-2.08
median-0.3
Q30.3
95-th percentile6.8955
Maximum19.42
Range40.55
Interquartile range (IQR)2.38

Descriptive statistics

Standard deviation4.296234402
Coefficient of variation (CV)-7.095073891
Kurtosis5.754759276
Mean-0.6055235602
Median Absolute Deviation (MAD)1.185
Skewness0.3703217411
Sum-231.31
Variance18.45763004
MonotonicityNot monotonic
2022-03-24T10:35:05.869355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063
 
16.5%
0.29
 
2.4%
-0.58
 
2.1%
-0.517
 
1.8%
0.46
 
1.6%
0.15
 
1.3%
-15
 
1.3%
-0.75
 
1.3%
-0.814
 
1.0%
-0.14
 
1.0%
Other values (218)266
69.6%
ValueCountFrequency (%)
-21.131
0.3%
-19.21
0.3%
-13.361
0.3%
-13.341
0.3%
-12.571
0.3%
ValueCountFrequency (%)
19.421
0.3%
17.461
0.3%
16.351
0.3%
14.81
0.3%
13.921
0.3%

政金债-新债.83
Real number (ℝ)

ZEROS

Distinct140
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.327434555
Minimum-7.1
Maximum10.3
Zeros169
Zeros (%)44.2%
Negative147
Negative (%)38.5%
Memory size3.1 KiB
2022-03-24T10:35:05.919700image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.1
5-th percentile-2.948
Q1-0.51
median0
Q30
95-th percentile1.6915
Maximum10.3
Range17.4
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation1.528154056
Coefficient of variation (CV)-4.667051882
Kurtosis9.996058222
Mean-0.327434555
Median Absolute Deviation (MAD)0.2
Skewness-0.1288031777
Sum-125.08
Variance2.335254819
MonotonicityNot monotonic
2022-03-24T10:35:05.967394image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169
44.2%
-0.38
 
2.1%
-0.517
 
1.8%
-0.16
 
1.6%
-0.26
 
1.6%
-0.56
 
1.6%
-15
 
1.3%
-1.024
 
1.0%
0.24
 
1.0%
0.14
 
1.0%
Other values (130)163
42.7%
ValueCountFrequency (%)
-7.11
0.3%
-6.51
0.3%
-6.111
0.3%
-5.921
0.3%
-5.771
0.3%
ValueCountFrequency (%)
10.31
0.3%
5.071
0.3%
4.931
0.3%
4.031
0.3%
3.831
0.3%

政金债-新债.84
Real number (ℝ)

ZEROS

Distinct320
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.06908377
Minimum-56.17
Maximum77.58
Zeros26
Zeros (%)6.8%
Negative219
Negative (%)57.3%
Memory size3.1 KiB
2022-03-24T10:35:06.018375image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.17
5-th percentile-21.6295
Q1-5.1825
median-0.705
Q31.1875
95-th percentile18.4195
Maximum77.58
Range133.75
Interquartile range (IQR)6.37

Descriptive statistics

Standard deviation13.93173966
Coefficient of variation (CV)-13.03147617
Kurtosis7.42010604
Mean-1.06908377
Median Absolute Deviation (MAD)3.525
Skewness0.9817539788
Sum-408.39
Variance194.09337
MonotonicityNot monotonic
2022-03-24T10:35:06.067272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
 
6.8%
-0.74
 
1.0%
-0.54
 
1.0%
0.14
 
1.0%
-0.43
 
0.8%
-0.713
 
0.8%
-1.713
 
0.8%
-13
 
0.8%
0.493
 
0.8%
-0.13
 
0.8%
Other values (310)326
85.3%
ValueCountFrequency (%)
-56.171
0.3%
-52.581
0.3%
-44.551
0.3%
-41.831
0.3%
-40.331
0.3%
ValueCountFrequency (%)
77.581
0.3%
71.871
0.3%
64.621
0.3%
50.71
0.3%
50.361
0.3%

政金债-新债.85
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001753926702
Minimum-0.67
Maximum0.54
Zeros375
Zeros (%)98.2%
Negative4
Negative (%)1.0%
Memory size3.1 KiB
2022-03-24T10:35:06.107482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.54
Range1.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06152747011
Coefficient of variation (CV)-35.07984117
Kurtosis79.72239581
Mean-0.001753926702
Median Absolute Deviation (MAD)0
Skewness-3.321006494
Sum-0.67
Variance0.003785629578
MonotonicityNot monotonic
2022-03-24T10:35:06.142356image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0375
98.2%
-0.671
 
0.3%
-0.111
 
0.3%
-0.541
 
0.3%
0.541
 
0.3%
0.441
 
0.3%
-0.441
 
0.3%
0.111
 
0.3%
ValueCountFrequency (%)
-0.671
 
0.3%
-0.541
 
0.3%
-0.441
 
0.3%
-0.111
 
0.3%
0375
98.2%
ValueCountFrequency (%)
0.541
 
0.3%
0.441
 
0.3%
0.111
 
0.3%
0375
98.2%
-0.111
 
0.3%

政金债-新债.86
Real number (ℝ)

ZEROS

Distinct49
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05688481675
Minimum-4.16
Maximum4.54
Zeros317
Zeros (%)83.0%
Negative46
Negative (%)12.0%
Memory size3.1 KiB
2022-03-24T10:35:06.186956image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.16
5-th percentile-0.5385
Q10
median0
Q30
95-th percentile0
Maximum4.54
Range8.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.646923251
Coefficient of variation (CV)-11.37251182
Kurtosis22.72605159
Mean-0.05688481675
Median Absolute Deviation (MAD)0
Skewness-0.6059710041
Sum-21.73
Variance0.4185096927
MonotonicityNot monotonic
2022-03-24T10:35:06.232032image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0317
83.0%
-0.15
 
1.3%
-0.215
 
1.3%
-0.43
 
0.8%
-0.53
 
0.8%
0.12
 
0.5%
-0.32
 
0.5%
-1.492
 
0.5%
-0.62
 
0.5%
-0.542
 
0.5%
Other values (39)39
 
10.2%
ValueCountFrequency (%)
-4.161
0.3%
-3.481
0.3%
-3.391
0.3%
-3.261
0.3%
-3.161
0.3%
ValueCountFrequency (%)
4.541
0.3%
3.621
0.3%
2.981
0.3%
2.51
0.3%
2.111
0.3%

政金债-新债.87
Real number (ℝ)

ZEROS

Distinct18
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05235602094
Minimum-9.47
Maximum1.52
Zeros359
Zeros (%)94.0%
Negative15
Negative (%)3.9%
Memory size3.1 KiB
2022-03-24T10:35:06.274234image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.47
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.52
Range10.99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6400633162
Coefficient of variation (CV)-12.22520934
Kurtosis143.1899313
Mean-0.05235602094
Median Absolute Deviation (MAD)0
Skewness-11.0814502
Sum-20
Variance0.4096810488
MonotonicityNot monotonic
2022-03-24T10:35:06.310870image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0359
94.0%
0.13
 
0.8%
-0.13
 
0.8%
-0.23
 
0.8%
0.411
 
0.3%
0.731
 
0.3%
-3.231
 
0.3%
1.051
 
0.3%
-0.521
 
0.3%
-0.941
 
0.3%
Other values (8)8
 
2.1%
ValueCountFrequency (%)
-9.471
0.3%
-5.461
0.3%
-4.431
0.3%
-3.231
0.3%
-0.941
0.3%
ValueCountFrequency (%)
1.521
0.3%
1.41
0.3%
1.051
0.3%
0.731
0.3%
0.411
0.3%

政金债-新债.88
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002356020942
Minimum0
Maximum0.9
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:06.345802image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.9
Range0.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04604800591
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.002356020942
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.9
Variance0.002120418848
MonotonicityNot monotonic
2022-03-24T10:35:06.375159image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.91
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.91
 
0.3%
ValueCountFrequency (%)
0.91
 
0.3%
0381
99.7%

政金债-新债.89
Real number (ℝ)

ZEROS

Distinct347
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.736727749
Minimum-59.79
Maximum81.29
Zeros14
Zeros (%)3.7%
Negative258
Negative (%)67.5%
Memory size3.1 KiB
2022-03-24T10:35:06.415791image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-59.79
5-th percentile-25.285
Q1-10.7775
median-3.88
Q30.8975
95-th percentile19.869
Maximum81.29
Range141.08
Interquartile range (IQR)11.675

Descriptive statistics

Standard deviation15.88351553
Coefficient of variation (CV)-4.250648321
Kurtosis5.874163294
Mean-3.736727749
Median Absolute Deviation (MAD)6.09
Skewness0.9670851609
Sum-1427.43
Variance252.2860656
MonotonicityNot monotonic
2022-03-24T10:35:06.461025image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-0.53
 
0.8%
-9.512
 
0.5%
-1.42
 
0.5%
-33.192
 
0.5%
-4.252
 
0.5%
-1.222
 
0.5%
6.072
 
0.5%
-5.712
 
0.5%
-25.192
 
0.5%
Other values (337)349
91.4%
ValueCountFrequency (%)
-59.791
0.3%
-59.181
0.3%
-53.121
0.3%
-48.231
0.3%
-39.71
0.3%
ValueCountFrequency (%)
81.291
0.3%
76.581
0.3%
63.291
0.3%
53.981
0.3%
52.591
0.3%

政金债-老债
Real number (ℝ)

ZEROS

Distinct78
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05219895288
Minimum-3.58
Maximum3.86
Zeros231
Zeros (%)60.5%
Negative92
Negative (%)24.1%
Memory size3.1 KiB
2022-03-24T10:35:06.511451image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.58
5-th percentile-1.1065
Q10
median0
Q30
95-th percentile1
Maximum3.86
Range7.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6096652687
Coefficient of variation (CV)-11.67964557
Kurtosis9.649001278
Mean-0.05219895288
Median Absolute Deviation (MAD)0
Skewness-0.1117027066
Sum-19.94
Variance0.3716917398
MonotonicityNot monotonic
2022-03-24T10:35:06.559361image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0231
60.5%
-0.3110
 
2.6%
-0.517
 
1.8%
0.57
 
1.8%
0.16
 
1.6%
-0.526
 
1.6%
-0.15
 
1.3%
0.25
 
1.3%
1.014
 
1.0%
-0.24
 
1.0%
Other values (68)97
25.4%
ValueCountFrequency (%)
-3.581
0.3%
-2.571
0.3%
-2.331
0.3%
-2.061
0.3%
-2.011
0.3%
ValueCountFrequency (%)
3.861
0.3%
1.991
0.3%
1.821
0.3%
1.81
0.3%
1.711
0.3%

政金债-老债.1
Real number (ℝ)

ZEROS

Distinct154
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.007329842932
Minimum-10.39
Maximum5.37
Zeros156
Zeros (%)40.8%
Negative107
Negative (%)28.0%
Memory size3.1 KiB
2022-03-24T10:35:06.609666image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.39
5-th percentile-1.9365
Q1-0.1
median0
Q30.2975
95-th percentile2.301
Maximum5.37
Range15.76
Interquartile range (IQR)0.3975

Descriptive statistics

Standard deviation1.527985547
Coefficient of variation (CV)-208.4608854
Kurtosis11.41066596
Mean-0.007329842932
Median Absolute Deviation (MAD)0.21
Skewness-1.620213745
Sum-2.8
Variance2.334739833
MonotonicityNot monotonic
2022-03-24T10:35:06.659332image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0156
40.8%
0.29
 
2.4%
0.38
 
2.1%
0.57
 
1.8%
-0.16
 
1.6%
0.295
 
1.3%
0.814
 
1.0%
-0.214
 
1.0%
-0.423
 
0.8%
-0.33
 
0.8%
Other values (144)177
46.3%
ValueCountFrequency (%)
-10.391
0.3%
-8.311
0.3%
-7.811
0.3%
-5.721
0.3%
-5.711
0.3%
ValueCountFrequency (%)
5.371
0.3%
5.171
0.3%
4.641
0.3%
4.341
0.3%
4.121
0.3%

政金债-老债.2
Real number (ℝ)

ZEROS

Distinct190
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04913612565
Minimum-13.69
Maximum13.08
Zeros92
Zeros (%)24.1%
Negative136
Negative (%)35.6%
Memory size3.1 KiB
2022-03-24T10:35:06.711674image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.69
5-th percentile-2.436
Q1-0.5275
median0
Q30.5275
95-th percentile2.4315
Maximum13.08
Range26.77
Interquartile range (IQR)1.055

Descriptive statistics

Standard deviation1.95735494
Coefficient of variation (CV)-39.83535359
Kurtosis15.22801908
Mean-0.04913612565
Median Absolute Deviation (MAD)0.53
Skewness-0.5802845247
Sum-18.77
Variance3.831238359
MonotonicityNot monotonic
2022-03-24T10:35:06.763748image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
092
 
24.1%
0.29
 
2.4%
0.19
 
2.4%
-0.27
 
1.8%
-0.316
 
1.6%
0.835
 
1.3%
-0.15
 
1.3%
0.325
 
1.3%
-0.214
 
1.0%
-1.024
 
1.0%
Other values (180)236
61.8%
ValueCountFrequency (%)
-13.691
0.3%
-9.661
0.3%
-9.31
0.3%
-7.121
0.3%
-6.611
0.3%
ValueCountFrequency (%)
13.081
0.3%
8.581
0.3%
6.591
0.3%
5.841
0.3%
5.031
0.3%

政金债-老债.3
Real number (ℝ)

ZEROS

Distinct114
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3973036649
Minimum-61.67
Maximum11.33
Zeros177
Zeros (%)46.3%
Negative128
Negative (%)33.5%
Memory size3.1 KiB
2022-03-24T10:35:06.814251image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-61.67
5-th percentile-1.54
Q1-0.3
median0
Q30
95-th percentile0.8475
Maximum11.33
Range73
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation3.694593384
Coefficient of variation (CV)-9.299167639
Kurtosis205.0817853
Mean-0.3973036649
Median Absolute Deviation (MAD)0.1
Skewness-12.94600328
Sum-151.77
Variance13.65002027
MonotonicityNot monotonic
2022-03-24T10:35:06.861685image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0177
46.3%
-0.117
 
1.8%
0.27
 
1.8%
-0.36
 
1.6%
-0.26
 
1.6%
0.216
 
1.6%
-0.315
 
1.3%
-0.525
 
1.3%
-0.14
 
1.0%
-0.224
 
1.0%
Other values (104)155
40.6%
ValueCountFrequency (%)
-61.671
0.3%
-25.31
0.3%
-12.631
0.3%
-9.641
0.3%
-8.851
0.3%
ValueCountFrequency (%)
11.331
0.3%
5.681
0.3%
4.771
0.3%
3.121
0.3%
2.371
0.3%

政金债-老债.4
Real number (ℝ)

ZEROS

Distinct306
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02282722513
Minimum-24.17
Maximum56.38
Zeros25
Zeros (%)6.5%
Negative182
Negative (%)47.6%
Memory size3.1 KiB
2022-03-24T10:35:06.911903image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-24.17
5-th percentile-9.3755
Q1-2.0775
median0
Q32.005
95-th percentile9.5675
Maximum56.38
Range80.55
Interquartile range (IQR)4.0825

Descriptive statistics

Standard deviation6.636308018
Coefficient of variation (CV)290.718998
Kurtosis16.30539286
Mean0.02282722513
Median Absolute Deviation (MAD)2.06
Skewness1.63086889
Sum8.72
Variance44.04058411
MonotonicityNot monotonic
2022-03-24T10:35:06.961051image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
 
6.5%
0.16
 
1.6%
0.24
 
1.0%
-0.14
 
1.0%
0.34
 
1.0%
-0.193
 
0.8%
0.683
 
0.8%
0.523
 
0.8%
-0.22
 
0.5%
-2.232
 
0.5%
Other values (296)326
85.3%
ValueCountFrequency (%)
-24.171
0.3%
-22.381
0.3%
-21.451
0.3%
-19.411
0.3%
-18.311
0.3%
ValueCountFrequency (%)
56.381
0.3%
29.851
0.3%
28.341
0.3%
22.181
0.3%
16.031
0.3%

政金债-老债.5
Real number (ℝ)

ZEROS

Distinct23
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01151832461
Minimum-0.75
Maximum3.29
Zeros340
Zeros (%)89.0%
Negative23
Negative (%)6.0%
Memory size3.1 KiB
2022-03-24T10:35:07.007221image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.75
5-th percentile-0.1
Q10
median0
Q30
95-th percentile0
Maximum3.29
Range4.04
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2457754314
Coefficient of variation (CV)21.33777609
Kurtosis97.91156495
Mean0.01151832461
Median Absolute Deviation (MAD)0
Skewness8.007767866
Sum4.4
Variance0.06040556266
MonotonicityNot monotonic
2022-03-24T10:35:07.046277image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0340
89.0%
-0.544
 
1.0%
-0.14
 
1.0%
0.24
 
1.0%
0.53
 
0.8%
-0.213
 
0.8%
-0.23
 
0.8%
0.13
 
0.8%
-0.312
 
0.5%
-0.512
 
0.5%
Other values (13)14
 
3.7%
ValueCountFrequency (%)
-0.751
 
0.3%
-0.721
 
0.3%
-0.544
1.0%
-0.521
 
0.3%
-0.512
0.5%
ValueCountFrequency (%)
3.291
0.3%
2.11
0.3%
1.011
0.3%
0.881
0.3%
0.741
0.3%

政金债-老债.6
Real number (ℝ)

ZEROS

Distinct70
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1005235602
Minimum-2.98
Maximum3.38
Zeros254
Zeros (%)66.5%
Negative48
Negative (%)12.6%
Memory size3.1 KiB
2022-03-24T10:35:07.094927image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.98
5-th percentile-0.51
Q10
median0
Q30
95-th percentile1.2295
Maximum3.38
Range6.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5798363768
Coefficient of variation (CV)5.768163957
Kurtosis11.80392775
Mean0.1005235602
Median Absolute Deviation (MAD)0
Skewness1.577314288
Sum38.4
Variance0.3362102239
MonotonicityNot monotonic
2022-03-24T10:35:07.140513image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0254
66.5%
0.216
 
1.6%
-0.216
 
1.6%
-0.515
 
1.3%
0.515
 
1.3%
0.54
 
1.0%
0.314
 
1.0%
0.424
 
1.0%
0.114
 
1.0%
0.824
 
1.0%
Other values (60)86
 
22.5%
ValueCountFrequency (%)
-2.981
0.3%
-2.441
0.3%
-1.591
0.3%
-1.541
0.3%
-1.121
0.3%
ValueCountFrequency (%)
3.382
0.5%
3.21
0.3%
2.551
0.3%
2.161
0.3%
2.012
0.5%

政金债-老债.7
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02421465969
Minimum-0.58
Maximum6.86
Zeros377
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size3.1 KiB
2022-03-24T10:35:07.179230image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.58
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6.86
Range7.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3837195854
Coefficient of variation (CV)15.8465818
Kurtosis274.7964405
Mean0.02421465969
Median Absolute Deviation (MAD)0
Skewness16.09973125
Sum9.25
Variance0.1472407202
MonotonicityNot monotonic
2022-03-24T10:35:07.210307image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0377
98.7%
-0.581
 
0.3%
6.861
 
0.3%
2.971
 
0.3%
0.231
 
0.3%
-0.231
 
0.3%
ValueCountFrequency (%)
-0.581
 
0.3%
-0.231
 
0.3%
0377
98.7%
0.231
 
0.3%
2.971
 
0.3%
ValueCountFrequency (%)
6.861
 
0.3%
2.971
 
0.3%
0.231
 
0.3%
0377
98.7%
-0.231
 
0.3%

政金债-老债.9
Real number (ℝ)

ZEROS

Distinct331
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3463874346
Minimum-63.1
Maximum51.07
Zeros12
Zeros (%)3.1%
Negative201
Negative (%)52.6%
Memory size3.1 KiB
2022-03-24T10:35:07.252929image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-63.1
5-th percentile-12.781
Q1-3.2475
median-0.115
Q32.695
95-th percentile11.14
Maximum51.07
Range114.17
Interquartile range (IQR)5.9425

Descriptive statistics

Standard deviation8.317617519
Coefficient of variation (CV)-24.01246896
Kurtosis13.30219025
Mean-0.3463874346
Median Absolute Deviation (MAD)2.98
Skewness-0.6086244692
Sum-132.32
Variance69.18276119
MonotonicityNot monotonic
2022-03-24T10:35:07.300172image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-1.343
 
0.8%
-0.13
 
0.8%
-0.113
 
0.8%
3.773
 
0.8%
0.43
 
0.8%
-0.012
 
0.5%
-6.092
 
0.5%
-2.232
 
0.5%
-0.22
 
0.5%
Other values (321)347
90.8%
ValueCountFrequency (%)
-63.11
0.3%
-34.151
0.3%
-26.151
0.3%
-26.051
0.3%
-24.891
0.3%
ValueCountFrequency (%)
51.071
0.3%
27.611
0.3%
26.121
0.3%
23.591
0.3%
22.81
0.3%

政金债-老债.10
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.968481675
Minimum-39.08
Maximum42.5
Zeros13
Zeros (%)3.4%
Negative234
Negative (%)61.3%
Memory size3.1 KiB
2022-03-24T10:35:07.349790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-39.08
5-th percentile-14.747
Q1-5.9825
median-1.775
Q32.0425
95-th percentile9.704
Maximum42.5
Range81.58
Interquartile range (IQR)8.025

Descriptive statistics

Standard deviation7.841229469
Coefficient of variation (CV)-3.983389618
Kurtosis4.425153888
Mean-1.968481675
Median Absolute Deviation (MAD)3.98
Skewness0.4097501793
Sum-751.96
Variance61.48487958
MonotonicityNot monotonic
2022-03-24T10:35:07.399495image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.53
 
0.8%
-2.713
 
0.8%
-1.212
 
0.5%
-4.692
 
0.5%
-9.052
 
0.5%
4.582
 
0.5%
6.382
 
0.5%
-3.142
 
0.5%
4.652
 
0.5%
Other values (328)349
91.4%
ValueCountFrequency (%)
-39.081
0.3%
-22.671
0.3%
-21.331
0.3%
-21.221
0.3%
-20.771
0.3%
ValueCountFrequency (%)
42.51
0.3%
30.231
0.3%
24.011
0.3%
21.351
0.3%
18.411
0.3%

政金债-老债.11
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.382670157
Minimum-47.36
Maximum26.36
Zeros11
Zeros (%)2.9%
Negative209
Negative (%)54.7%
Memory size3.1 KiB
2022-03-24T10:35:07.450026image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-47.36
5-th percentile-22.989
Q1-7.97
median-1.245
Q34.215
95-th percentile12.834
Maximum26.36
Range73.72
Interquartile range (IQR)12.185

Descriptive statistics

Standard deviation10.67658043
Coefficient of variation (CV)-4.480930943
Kurtosis1.536703594
Mean-2.382670157
Median Absolute Deviation (MAD)6.16
Skewness-0.6885663773
Sum-910.18
Variance113.9893698
MonotonicityNot monotonic
2022-03-24T10:35:07.497936image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-9.573
 
0.8%
-1.232
 
0.5%
-5.422
 
0.5%
0.972
 
0.5%
5.712
 
0.5%
-8.942
 
0.5%
-2.322
 
0.5%
-7.172
 
0.5%
1.72
 
0.5%
Other values (342)352
92.1%
ValueCountFrequency (%)
-47.361
0.3%
-45.511
0.3%
-35.531
0.3%
-33.211
0.3%
-33.111
0.3%
ValueCountFrequency (%)
26.361
0.3%
24.61
0.3%
23.641
0.3%
22.791
0.3%
18.731
0.3%

政金债-老债.12
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.427827225
Minimum-36.87
Maximum57.16
Zeros13
Zeros (%)3.4%
Negative143
Negative (%)37.4%
Memory size3.1 KiB
2022-03-24T10:35:07.548537image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-36.87
5-th percentile-16.6435
Q1-4.13
median3.195
Q311.7675
95-th percentile30.5895
Maximum57.16
Range94.03
Interquartile range (IQR)15.8975

Descriptive statistics

Standard deviation13.89808228
Coefficient of variation (CV)3.138804107
Kurtosis0.8824107762
Mean4.427827225
Median Absolute Deviation (MAD)8.075
Skewness0.4836235579
Sum1691.43
Variance193.1566911
MonotonicityNot monotonic
2022-03-24T10:35:07.597925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
6.842
 
0.5%
9.542
 
0.5%
2.972
 
0.5%
32.582
 
0.5%
13.872
 
0.5%
6.752
 
0.5%
-7.12
 
0.5%
7.242
 
0.5%
6.882
 
0.5%
Other values (346)351
91.9%
ValueCountFrequency (%)
-36.871
0.3%
-29.961
0.3%
-27.511
0.3%
-26.871
0.3%
-25.071
0.3%
ValueCountFrequency (%)
57.161
0.3%
49.341
0.3%
47.311
0.3%
47.081
0.3%
42.431
0.3%

政金债-老债.13
Real number (ℝ)

ZEROS

Distinct336
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.567931937
Minimum-58.65
Maximum20.47
Zeros14
Zeros (%)3.7%
Negative216
Negative (%)56.5%
Memory size3.1 KiB
2022-03-24T10:35:07.648842image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-58.65
5-th percentile-23.55
Q1-5.45
median-0.495
Q32.8325
95-th percentile9.698
Maximum20.47
Range79.12
Interquartile range (IQR)8.2825

Descriptive statistics

Standard deviation10.15995803
Coefficient of variation (CV)-3.956474812
Kurtosis6.771403394
Mean-2.567931937
Median Absolute Deviation (MAD)3.795
Skewness-1.981582128
Sum-980.95
Variance103.2247472
MonotonicityNot monotonic
2022-03-24T10:35:07.699157image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-0.214
 
1.0%
3.293
 
0.8%
-0.473
 
0.8%
3.073
 
0.8%
3.022
 
0.5%
0.172
 
0.5%
3.042
 
0.5%
-0.12
 
0.5%
0.942
 
0.5%
Other values (326)345
90.3%
ValueCountFrequency (%)
-58.651
0.3%
-53.231
0.3%
-49.881
0.3%
-43.131
0.3%
-42.771
0.3%
ValueCountFrequency (%)
20.471
0.3%
20.221
0.3%
18.971
0.3%
16.421
0.3%
15.751
0.3%

政金债-老债.14
Real number (ℝ)

ZEROS

Distinct366
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.621413613
Minimum-210.47
Maximum286.63
Zeros11
Zeros (%)2.9%
Negative160
Negative (%)41.9%
Memory size3.1 KiB
2022-03-24T10:35:07.749936image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-210.47
5-th percentile-53.1615
Q1-15.7
median3.35
Q325.7775
95-th percentile95.312
Maximum286.63
Range497.1
Interquartile range (IQR)41.4775

Descriptive statistics

Standard deviation46.63706746
Coefficient of variation (CV)4.847215735
Kurtosis5.323677829
Mean9.621413613
Median Absolute Deviation (MAD)20.765
Skewness0.9590405569
Sum3675.38
Variance2175.016061
MonotonicityNot monotonic
2022-03-24T10:35:07.798854image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
72.292
 
0.5%
-12.652
 
0.5%
45.632
 
0.5%
6.182
 
0.5%
-26.612
 
0.5%
-9.982
 
0.5%
41.521
 
0.3%
-7.761
 
0.3%
-36.431
 
0.3%
Other values (356)356
93.2%
ValueCountFrequency (%)
-210.471
0.3%
-134.921
0.3%
-95.391
0.3%
-94.681
0.3%
-90.871
0.3%
ValueCountFrequency (%)
286.631
0.3%
168.651
0.3%
165.771
0.3%
162.791
0.3%
151.321
0.3%

政金债-老债.15
Real number (ℝ)

ZEROS

Distinct49
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02031413613
Minimum-2
Maximum2.44
Zeros282
Zeros (%)73.8%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:35:07.849227image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-0.4965
Q10
median0
Q30
95-th percentile0.31
Maximum2.44
Range4.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2946690047
Coefficient of variation (CV)-14.50561337
Kurtosis21.3512039
Mean-0.02031413613
Median Absolute Deviation (MAD)0
Skewness0.6463975997
Sum-7.76
Variance0.08682982232
MonotonicityNot monotonic
2022-03-24T10:35:07.895108image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0282
73.8%
0.217
 
1.8%
-0.316
 
1.6%
-0.35
 
1.3%
-0.535
 
1.3%
0.35
 
1.3%
-0.24
 
1.0%
-0.324
 
1.0%
-0.214
 
1.0%
0.544
 
1.0%
Other values (39)56
 
14.7%
ValueCountFrequency (%)
-21
0.3%
-1.111
0.3%
-1.052
0.5%
-1.011
0.3%
-11
0.3%
ValueCountFrequency (%)
2.441
0.3%
1.511
0.3%
1.051
0.3%
0.911
0.3%
0.851
0.3%

政金债-老债.16
Real number (ℝ)

ZEROS

Distinct100
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08143979058
Minimum-7.8
Maximum4.38
Zeros186
Zeros (%)48.7%
Negative88
Negative (%)23.0%
Memory size3.1 KiB
2022-03-24T10:35:07.940966image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.8
5-th percentile-1.5395
Q10
median0
Q30.2
95-th percentile0.85
Maximum4.38
Range12.18
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.9859159219
Coefficient of variation (CV)-12.10607143
Kurtosis22.13836903
Mean-0.08143979058
Median Absolute Deviation (MAD)0.1
Skewness-3.24681471
Sum-31.11
Variance0.972030205
MonotonicityNot monotonic
2022-03-24T10:35:07.991251image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0186
48.7%
-0.2113
 
3.4%
0.5112
 
3.1%
-0.110
 
2.6%
0.219
 
2.4%
0.318
 
2.1%
0.17
 
1.8%
0.426
 
1.6%
0.525
 
1.3%
-0.525
 
1.3%
Other values (90)121
31.7%
ValueCountFrequency (%)
-7.81
0.3%
-6.791
0.3%
-6.371
0.3%
-4.411
0.3%
-4.111
0.3%
ValueCountFrequency (%)
4.381
0.3%
2.971
0.3%
2.151
0.3%
1.931
0.3%
1.661
0.3%

政金债-老债.19
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.027931937
Minimum-225.36
Maximum304.2
Zeros11
Zeros (%)2.9%
Negative175
Negative (%)45.8%
Memory size3.1 KiB
2022-03-24T10:35:08.041620image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-225.36
5-th percentile-91.299
Q1-29.4125
median0.995
Q336.595
95-th percentile127.688
Maximum304.2
Range529.56
Interquartile range (IQR)66.0075

Descriptive statistics

Standard deviation65.4549475
Coefficient of variation (CV)9.313543171
Kurtosis1.876024917
Mean7.027931937
Median Absolute Deviation (MAD)33.06
Skewness0.4990045094
Sum2684.67
Variance4284.350152
MonotonicityNot monotonic
2022-03-24T10:35:08.090851image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
42.132
 
0.5%
-49.512
 
0.5%
-11.992
 
0.5%
68.551
 
0.3%
147.81
 
0.3%
8.731
 
0.3%
34.341
 
0.3%
31.671
 
0.3%
97.561
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-225.361
0.3%
-168.61
0.3%
-162.281
0.3%
-159.621
0.3%
-133.941
0.3%
ValueCountFrequency (%)
304.21
0.3%
237.131
0.3%
204.371
0.3%
183.331
0.3%
181.41
0.3%

政金债-老债.20
Real number (ℝ)

ZEROS

Distinct352
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.19308901
Minimum-70.87
Maximum29.11
Zeros11
Zeros (%)2.9%
Negative346
Negative (%)90.6%
Memory size3.1 KiB
2022-03-24T10:35:08.140533image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.87
5-th percentile-43.294
Q1-24.875
median-14.115
Q3-5.28
95-th percentile0.9005
Maximum29.11
Range99.98
Interquartile range (IQR)19.595

Descriptive statistics

Standard deviation14.47708661
Coefficient of variation (CV)-0.8940287182
Kurtosis0.5868439643
Mean-16.19308901
Median Absolute Deviation (MAD)9.81
Skewness-0.6956692097
Sum-6185.76
Variance209.5860366
MonotonicityNot monotonic
2022-03-24T10:35:08.186554image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-4.452
 
0.5%
-2.932
 
0.5%
-5.312
 
0.5%
-10.612
 
0.5%
-6.922
 
0.5%
-10.32
 
0.5%
-24.162
 
0.5%
-0.412
 
0.5%
-6.192
 
0.5%
Other values (342)353
92.4%
ValueCountFrequency (%)
-70.871
0.3%
-62.761
0.3%
-61.431
0.3%
-56.311
0.3%
-54.331
0.3%
ValueCountFrequency (%)
29.111
0.3%
17.691
0.3%
15.531
0.3%
8.381
0.3%
7.331
0.3%

政金债-老债.21
Real number (ℝ)

ZEROS

Distinct358
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.21803665
Minimum-70.17
Maximum20.24
Zeros12
Zeros (%)3.1%
Negative326
Negative (%)85.3%
Memory size3.1 KiB
2022-03-24T10:35:08.234376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-70.17
5-th percentile-39.78
Q1-24.565
median-13.675
Q3-4.4775
95-th percentile5.3085
Maximum20.24
Range90.41
Interquartile range (IQR)20.0875

Descriptive statistics

Standard deviation14.26271341
Coefficient of variation (CV)-0.9372242778
Kurtosis0.934971618
Mean-15.21803665
Median Absolute Deviation (MAD)10.055
Skewness-0.6856302499
Sum-5813.29
Variance203.4249938
MonotonicityNot monotonic
2022-03-24T10:35:08.280504image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-15.783
 
0.8%
-27.822
 
0.5%
-13.422
 
0.5%
-2.082
 
0.5%
-4.12
 
0.5%
-15.182
 
0.5%
-28.92
 
0.5%
-19.82
 
0.5%
0.952
 
0.5%
Other values (348)351
91.9%
ValueCountFrequency (%)
-70.171
0.3%
-68.681
0.3%
-64.971
0.3%
-64.211
0.3%
-53.651
0.3%
ValueCountFrequency (%)
20.241
0.3%
14.091
0.3%
12.691
0.3%
12.451
0.3%
10.41
0.3%

政金债-老债.22
Real number (ℝ)

ZEROS

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.818219895
Minimum-58.54
Maximum53.76
Zeros11
Zeros (%)2.9%
Negative303
Negative (%)79.3%
Memory size3.1 KiB
2022-03-24T10:35:08.330247image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-58.54
5-th percentile-34.6795
Q1-15.6625
median-7.37
Q3-1.4175
95-th percentile5.637
Maximum53.76
Range112.3
Interquartile range (IQR)14.245

Descriptive statistics

Standard deviation12.82819473
Coefficient of variation (CV)-1.306570322
Kurtosis2.62872296
Mean-9.818219895
Median Absolute Deviation (MAD)6.745
Skewness-0.7036270893
Sum-3750.56
Variance164.56258
MonotonicityNot monotonic
2022-03-24T10:35:08.376492image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-3.323
 
0.8%
-8.672
 
0.5%
-13.722
 
0.5%
-10.32
 
0.5%
-3.022
 
0.5%
-5.812
 
0.5%
-5.692
 
0.5%
-9.922
 
0.5%
-8.212
 
0.5%
Other values (343)352
92.1%
ValueCountFrequency (%)
-58.541
0.3%
-55.311
0.3%
-531
0.3%
-52.071
0.3%
-50.951
0.3%
ValueCountFrequency (%)
53.761
0.3%
15.011
0.3%
14.781
0.3%
13.071
0.3%
12.551
0.3%

政金债-老债.23
Real number (ℝ)

ZEROS

Distinct338
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.377408377
Minimum-73.64
Maximum38.22
Zeros13
Zeros (%)3.4%
Negative242
Negative (%)63.4%
Memory size3.1 KiB
2022-03-24T10:35:08.424452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-73.64
5-th percentile-19.365
Q1-5.33
median-1.465
Q30.8075
95-th percentile7.0035
Maximum38.22
Range111.86
Interquartile range (IQR)6.1375

Descriptive statistics

Standard deviation10.50021756
Coefficient of variation (CV)-3.108957044
Kurtosis11.61695183
Mean-3.377408377
Median Absolute Deviation (MAD)2.805
Skewness-2.242232858
Sum-1290.17
Variance110.2545689
MonotonicityNot monotonic
2022-03-24T10:35:08.470511image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
0.613
 
0.8%
-4.193
 
0.8%
-0.933
 
0.8%
-1.592
 
0.5%
-3.092
 
0.5%
-0.612
 
0.5%
-1.572
 
0.5%
-1.92
 
0.5%
0.332
 
0.5%
Other values (328)348
91.1%
ValueCountFrequency (%)
-73.641
0.3%
-56.41
0.3%
-54.21
0.3%
-53.371
0.3%
-51.541
0.3%
ValueCountFrequency (%)
38.221
0.3%
31.91
0.3%
22.611
0.3%
19.931
0.3%
18.611
0.3%

政金债-老债.24
Real number (ℝ)

ZEROS

Distinct354
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.10573298
Minimum-75.73
Maximum43.72
Zeros11
Zeros (%)2.9%
Negative294
Negative (%)77.0%
Memory size3.1 KiB
2022-03-24T10:35:08.516380image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-75.73
5-th percentile-42.742
Q1-21.67
median-9.41
Q3-0.5675
95-th percentile14.471
Maximum43.72
Range119.45
Interquartile range (IQR)21.1025

Descriptive statistics

Standard deviation18.7935433
Coefficient of variation (CV)-1.552449845
Kurtosis1.29251731
Mean-12.10573298
Median Absolute Deviation (MAD)9.41
Skewness-0.7147962387
Sum-4624.39
Variance353.1972697
MonotonicityNot monotonic
2022-03-24T10:35:08.893452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-12.13
 
0.8%
-1.033
 
0.8%
8.762
 
0.5%
-1.692
 
0.5%
-21.182
 
0.5%
-2.182
 
0.5%
-30.192
 
0.5%
4.622
 
0.5%
-6.232
 
0.5%
Other values (344)351
91.9%
ValueCountFrequency (%)
-75.731
0.3%
-75.271
0.3%
-73.561
0.3%
-70.161
0.3%
-69.451
0.3%
ValueCountFrequency (%)
43.721
0.3%
31.481
0.3%
29.911
0.3%
29.261
0.3%
28.631
0.3%

政金债-老债.25
Real number (ℝ)

ZEROS

Distinct30
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02107329843
Minimum-4.86
Maximum3.64
Zeros343
Zeros (%)89.8%
Negative19
Negative (%)5.0%
Memory size3.1 KiB
2022-03-24T10:35:08.941950image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.86
5-th percentile0
Q10
median0
Q30
95-th percentile0.095
Maximum3.64
Range8.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.437290212
Coefficient of variation (CV)20.75091441
Kurtosis66.6233854
Mean0.02107329843
Median Absolute Deviation (MAD)0
Skewness0.1769315254
Sum8.05
Variance0.1912227295
MonotonicityNot monotonic
2022-03-24T10:35:08.981770image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0343
89.8%
-0.533
 
0.8%
-0.213
 
0.8%
0.12
 
0.5%
-0.312
 
0.5%
0.212
 
0.5%
0.432
 
0.5%
-0.542
 
0.5%
-0.522
 
0.5%
-0.421
 
0.3%
Other values (20)20
 
5.2%
ValueCountFrequency (%)
-4.861
 
0.3%
-1.131
 
0.3%
-0.542
0.5%
-0.533
0.8%
-0.522
0.5%
ValueCountFrequency (%)
3.641
0.3%
3.291
0.3%
2.641
0.3%
2.561
0.3%
1.511
0.3%

政金债-老债.26
Real number (ℝ)

ZEROS

Distinct65
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1527748691
Minimum-9.69
Maximum4.88
Zeros290
Zeros (%)75.9%
Negative63
Negative (%)16.5%
Memory size3.1 KiB
2022-03-24T10:35:09.026547image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.69
5-th percentile-1.05
Q10
median0
Q30
95-th percentile0.31
Maximum4.88
Range14.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.913500749
Coefficient of variation (CV)-5.979391469
Kurtosis43.86841483
Mean-0.1527748691
Median Absolute Deviation (MAD)0
Skewness-4.83646508
Sum-58.36
Variance0.8344836185
MonotonicityNot monotonic
2022-03-24T10:35:09.074741image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0290
75.9%
-0.518
 
2.1%
-0.534
 
1.0%
-1.053
 
0.8%
0.13
 
0.8%
-0.213
 
0.8%
-0.313
 
0.8%
-1.022
 
0.5%
-0.412
 
0.5%
-0.522
 
0.5%
Other values (55)62
 
16.2%
ValueCountFrequency (%)
-9.691
0.3%
-5.91
0.3%
-5.321
0.3%
-5.131
0.3%
-5.011
0.3%
ValueCountFrequency (%)
4.881
0.3%
1.661
0.3%
1.641
0.3%
1.461
0.3%
1.42
0.5%

政金债-老债.29
Real number (ℝ)

ZEROS

Distinct367
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-56.84473822
Minimum-195.67
Maximum62.05
Zeros11
Zeros (%)2.9%
Negative352
Negative (%)92.1%
Memory size3.1 KiB
2022-03-24T10:35:09.124510image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-195.67
5-th percentile-127.115
Q1-82.46
median-52.735
Q3-28.58
95-th percentile0
Maximum62.05
Range257.72
Interquartile range (IQR)53.88

Descriptive statistics

Standard deviation41.25174926
Coefficient of variation (CV)-0.725691604
Kurtosis0.591149852
Mean-56.84473822
Median Absolute Deviation (MAD)26.755
Skewness-0.5083366314
Sum-21714.69
Variance1701.706817
MonotonicityNot monotonic
2022-03-24T10:35:09.173991image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-93.852
 
0.5%
-8.442
 
0.5%
-58.252
 
0.5%
-34.882
 
0.5%
-37.962
 
0.5%
-151.741
 
0.3%
-137.081
 
0.3%
-32.731
 
0.3%
-85.581
 
0.3%
Other values (357)357
93.5%
ValueCountFrequency (%)
-195.671
0.3%
-190.541
0.3%
-190.171
0.3%
-180.881
0.3%
-177.271
0.3%
ValueCountFrequency (%)
62.051
0.3%
45.381
0.3%
36.641
0.3%
30.371
0.3%
26.631
0.3%

政金债-老债.30
Real number (ℝ)

ZEROS

Distinct366
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.31602094
Minimum-56.34
Maximum117.59
Zeros13
Zeros (%)3.4%
Negative124
Negative (%)32.5%
Memory size3.1 KiB
2022-03-24T10:35:09.221682image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-56.34
5-th percentile-23.2065
Q1-4.255
median8.16
Q323.63
95-th percentile49.5805
Maximum117.59
Range173.93
Interquartile range (IQR)27.885

Descriptive statistics

Standard deviation23.77329576
Coefficient of variation (CV)2.304502472
Kurtosis1.339713457
Mean10.31602094
Median Absolute Deviation (MAD)14.245
Skewness0.4392837731
Sum3940.72
Variance565.1695915
MonotonicityNot monotonic
2022-03-24T10:35:09.268219image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
20.912
 
0.5%
6.082
 
0.5%
7.42
 
0.5%
20.222
 
0.5%
24.71
 
0.3%
4.931
 
0.3%
-22.461
 
0.3%
-24.261
 
0.3%
-3.831
 
0.3%
Other values (356)356
93.2%
ValueCountFrequency (%)
-56.341
0.3%
-48.931
0.3%
-46.531
0.3%
-45.291
0.3%
-43.441
0.3%
ValueCountFrequency (%)
117.591
0.3%
103.011
0.3%
76.731
0.3%
73.411
0.3%
72.81
0.3%

政金债-老债.31
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.46858639
Minimum-45.72
Maximum127.85
Zeros13
Zeros (%)3.4%
Negative85
Negative (%)22.3%
Memory size3.1 KiB
2022-03-24T10:35:09.317160image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-45.72
5-th percentile-21.4935
Q10
median17.87
Q335.8975
95-th percentile67.597
Maximum127.85
Range173.57
Interquartile range (IQR)35.8975

Descriptive statistics

Standard deviation27.68898325
Coefficient of variation (CV)1.422239021
Kurtosis0.903727033
Mean19.46858639
Median Absolute Deviation (MAD)17.87
Skewness0.4467236896
Sum7437
Variance766.6797933
MonotonicityNot monotonic
2022-03-24T10:35:09.365093image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
14.883
 
0.8%
11.212
 
0.5%
16.322
 
0.5%
26.252
 
0.5%
23.992
 
0.5%
21.132
 
0.5%
30.712
 
0.5%
-12.92
 
0.5%
10.851
 
0.3%
Other values (351)351
91.9%
ValueCountFrequency (%)
-45.721
0.3%
-45.71
0.3%
-44.341
0.3%
-42.21
0.3%
-42.071
0.3%
ValueCountFrequency (%)
127.851
0.3%
122.791
0.3%
112.411
0.3%
97.581
0.3%
94.891
0.3%

政金债-老债.32
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.471518325
Minimum-124.08
Maximum97.92
Zeros13
Zeros (%)3.4%
Negative108
Negative (%)28.3%
Memory size3.1 KiB
2022-03-24T10:35:09.417391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-124.08
5-th percentile-28.32
Q1-1.86
median9.26
Q320.945
95-th percentile46.637
Maximum97.92
Range222
Interquartile range (IQR)22.805

Descriptive statistics

Standard deviation23.74419127
Coefficient of variation (CV)2.506904433
Kurtosis4.10023203
Mean9.471518325
Median Absolute Deviation (MAD)11.42
Skewness-0.4241863327
Sum3618.12
Variance563.7866192
MonotonicityNot monotonic
2022-03-24T10:35:09.465587image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-1.862
 
0.5%
9.372
 
0.5%
22.832
 
0.5%
23.212
 
0.5%
34.792
 
0.5%
12.892
 
0.5%
7.592
 
0.5%
-11.492
 
0.5%
-0.722
 
0.5%
Other values (351)351
91.9%
ValueCountFrequency (%)
-124.081
0.3%
-79.741
0.3%
-75.721
0.3%
-66.831
0.3%
-65.821
0.3%
ValueCountFrequency (%)
97.921
0.3%
90.421
0.3%
79.521
0.3%
69.781
0.3%
68.81
0.3%

政金债-老债.33
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.96243455
Minimum-53.84
Maximum190.26
Zeros14
Zeros (%)3.7%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:35:09.514892image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-53.84
5-th percentile-6.1075
Q11.37
median6.43
Q313.6425
95-th percentile45.5845
Maximum190.26
Range244.1
Interquartile range (IQR)12.2725

Descriptive statistics

Standard deviation20.93938726
Coefficient of variation (CV)1.910103741
Kurtosis23.60578622
Mean10.96243455
Median Absolute Deviation (MAD)5.965
Skewness3.707267808
Sum4187.65
Variance438.4579387
MonotonicityNot monotonic
2022-03-24T10:35:09.564966image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
5.533
 
0.8%
5.982
 
0.5%
-0.692
 
0.5%
5.232
 
0.5%
6.252
 
0.5%
13.152
 
0.5%
22.562
 
0.5%
5.472
 
0.5%
12.752
 
0.5%
Other values (341)349
91.4%
ValueCountFrequency (%)
-53.841
0.3%
-37.621
0.3%
-25.51
0.3%
-24.251
0.3%
-22.481
0.3%
ValueCountFrequency (%)
190.261
0.3%
160.191
0.3%
113.191
0.3%
110.431
0.3%
84.951
0.3%

政金债-老债.34
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.127931937
Minimum-149.27
Maximum113.44
Zeros13
Zeros (%)3.4%
Negative133
Negative (%)34.8%
Memory size3.1 KiB
2022-03-24T10:35:09.612260image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-149.27
5-th percentile-67.198
Q1-6.54
median7.225
Q325.33
95-th percentile64.138
Maximum113.44
Range262.71
Interquartile range (IQR)31.87

Descriptive statistics

Standard deviation36.52362142
Coefficient of variation (CV)5.124013773
Kurtosis2.835481336
Mean7.127931937
Median Absolute Deviation (MAD)15.565
Skewness-0.7892158694
Sum2722.87
Variance1333.974921
MonotonicityNot monotonic
2022-03-24T10:35:09.660111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
15.992
 
0.5%
25.972
 
0.5%
22.122
 
0.5%
25.362
 
0.5%
4.212
 
0.5%
35.622
 
0.5%
22.792
 
0.5%
27.422
 
0.5%
7.22
 
0.5%
Other values (351)351
91.9%
ValueCountFrequency (%)
-149.271
0.3%
-140.81
0.3%
-121.741
0.3%
-117.931
0.3%
-113.351
0.3%
ValueCountFrequency (%)
113.441
0.3%
113.271
0.3%
94.451
0.3%
92.221
0.3%
90.661
0.3%

政金债-老债.35
Real number (ℝ)

ZEROS

Distinct31
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02405759162
Minimum-1.01
Maximum2.68
Zeros317
Zeros (%)83.0%
Negative51
Negative (%)13.4%
Memory size3.1 KiB
2022-03-24T10:35:09.703898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.01
5-th percentile-0.3
Q10
median0
Q30
95-th percentile0
Maximum2.68
Range3.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2206719084
Coefficient of variation (CV)-9.172651688
Kurtosis63.07048775
Mean-0.02405759162
Median Absolute Deviation (MAD)0
Skewness4.159631406
Sum-9.19
Variance0.04869609116
MonotonicityNot monotonic
2022-03-24T10:35:09.746325image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0317
83.0%
-0.28
 
2.1%
-0.216
 
1.6%
-0.36
 
1.6%
-0.15
 
1.3%
-0.224
 
1.0%
0.323
 
0.8%
-0.113
 
0.8%
-0.312
 
0.5%
-0.52
 
0.5%
Other values (21)26
 
6.8%
ValueCountFrequency (%)
-1.011
0.3%
-0.961
0.3%
-0.861
0.3%
-0.81
0.3%
-0.741
0.3%
ValueCountFrequency (%)
2.681
0.3%
0.861
0.3%
0.841
0.3%
0.621
0.3%
0.531
0.3%

政金债-老债.36
Real number (ℝ)

ZEROS

Distinct91
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009057591623
Minimum-3.52
Maximum6.63
Zeros202
Zeros (%)52.9%
Negative99
Negative (%)25.9%
Memory size3.1 KiB
2022-03-24T10:35:09.795424image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-3.52
5-th percentile-0.8395
Q1-0.1
median0
Q30
95-th percentile0.9985
Maximum6.63
Range10.15
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.6680921651
Coefficient of variation (CV)73.76046447
Kurtosis29.32697608
Mean0.009057591623
Median Absolute Deviation (MAD)0
Skewness2.452764701
Sum3.46
Variance0.446347141
MonotonicityNot monotonic
2022-03-24T10:35:09.843991image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0202
52.9%
-0.115
 
3.9%
0.114
 
3.7%
-0.2113
 
3.4%
-0.317
 
1.8%
-0.26
 
1.6%
0.216
 
1.6%
0.25
 
1.3%
-0.514
 
1.0%
-0.114
 
1.0%
Other values (81)106
27.7%
ValueCountFrequency (%)
-3.521
0.3%
-2.691
0.3%
-2.111
0.3%
-1.771
0.3%
-1.51
0.3%
ValueCountFrequency (%)
6.631
0.3%
3.051
0.3%
2.351
0.3%
2.31
0.3%
2.031
0.3%

政金债-老债.39
Real number (ℝ)

ZEROS

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.33193717
Minimum-222.18
Maximum356.59
Zeros13
Zeros (%)3.4%
Negative85
Negative (%)22.3%
Memory size3.1 KiB
2022-03-24T10:35:09.891488image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-222.18
5-th percentile-93.737
Q10
median60.82
Q3112.935
95-th percentile191.0365
Maximum356.59
Range578.77
Interquartile range (IQR)112.935

Descriptive statistics

Standard deviation85.19826665
Coefficient of variation (CV)1.486052467
Kurtosis0.7262430446
Mean57.33193717
Median Absolute Deviation (MAD)56.065
Skewness-0.1745214729
Sum21900.8
Variance7258.744641
MonotonicityNot monotonic
2022-03-24T10:35:09.938892image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
101.082
 
0.5%
-78.891
 
0.3%
27.721
 
0.3%
229.711
 
0.3%
15.671
 
0.3%
-13.31
 
0.3%
-58.091
 
0.3%
36.041
 
0.3%
185.871
 
0.3%
Other values (359)359
94.0%
ValueCountFrequency (%)
-222.181
0.3%
-199.811
0.3%
-188.151
0.3%
-1731
0.3%
-162.011
0.3%
ValueCountFrequency (%)
356.591
0.3%
303.41
0.3%
287.651
0.3%
257.371
0.3%
254.371
0.3%

政金债-老债.40
Real number (ℝ)

ZEROS

Distinct325
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2661256545
Minimum-18.8
Maximum18.54
Zeros14
Zeros (%)3.7%
Negative193
Negative (%)50.5%
Memory size3.1 KiB
2022-03-24T10:35:09.988925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-18.8
5-th percentile-8.003
Q1-2.8625
median-0.04
Q32
95-th percentile7.514
Maximum18.54
Range37.34
Interquartile range (IQR)4.8625

Descriptive statistics

Standard deviation4.880139586
Coefficient of variation (CV)-18.33772695
Kurtosis2.01024604
Mean-0.2661256545
Median Absolute Deviation (MAD)2.515
Skewness0.0299936602
Sum-101.66
Variance23.81576238
MonotonicityNot monotonic
2022-03-24T10:35:10.036469image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
0.13
 
0.8%
0.353
 
0.8%
-1.433
 
0.8%
0.513
 
0.8%
-1.242
 
0.5%
-5.052
 
0.5%
-0.22
 
0.5%
1.12
 
0.5%
-3.252
 
0.5%
Other values (315)346
90.6%
ValueCountFrequency (%)
-18.81
0.3%
-16.351
0.3%
-15.581
0.3%
-15.191
0.3%
-14.941
0.3%
ValueCountFrequency (%)
18.541
0.3%
17.051
0.3%
15.181
0.3%
12.611
0.3%
12.591
0.3%

政金债-老债.41
Real number (ℝ)

ZEROS

Distinct339
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8255759162
Minimum-29.45
Maximum21.51
Zeros12
Zeros (%)3.1%
Negative163
Negative (%)42.7%
Memory size3.1 KiB
2022-03-24T10:35:10.087621image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-29.45
5-th percentile-10.3805
Q1-3.005
median0.595
Q34.425
95-th percentile12.4575
Maximum21.51
Range50.96
Interquartile range (IQR)7.43

Descriptive statistics

Standard deviation6.771923437
Coefficient of variation (CV)8.202665926
Kurtosis1.650858559
Mean0.8255759162
Median Absolute Deviation (MAD)3.675
Skewness-0.004147501782
Sum315.37
Variance45.85894704
MonotonicityNot monotonic
2022-03-24T10:35:10.137774image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.193
 
0.8%
1.892
 
0.5%
2.182
 
0.5%
5.632
 
0.5%
-2.852
 
0.5%
-0.352
 
0.5%
4.72
 
0.5%
10.632
 
0.5%
-0.142
 
0.5%
Other values (329)351
91.9%
ValueCountFrequency (%)
-29.451
0.3%
-19.131
0.3%
-18.181
0.3%
-16.751
0.3%
-13.991
0.3%
ValueCountFrequency (%)
21.511
0.3%
21.011
0.3%
20.691
0.3%
19.961
0.3%
19.861
0.3%

政金债-老债.42
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2090052356
Minimum-105.2
Maximum25.17
Zeros12
Zeros (%)3.1%
Negative191
Negative (%)50.0%
Memory size3.1 KiB
2022-03-24T10:35:10.187440image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-105.2
5-th percentile-10.837
Q1-3.9575
median-0.03
Q34.17
95-th percentile11.1975
Maximum25.17
Range130.37
Interquartile range (IQR)8.1275

Descriptive statistics

Standard deviation8.843864137
Coefficient of variation (CV)-42.31407941
Kurtosis51.87509276
Mean-0.2090052356
Median Absolute Deviation (MAD)3.98
Skewness-4.447080011
Sum-79.84
Variance78.21393287
MonotonicityNot monotonic
2022-03-24T10:35:10.238172image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
3.723
 
0.8%
6.112
 
0.5%
3.862
 
0.5%
3.512
 
0.5%
3.122
 
0.5%
-1.552
 
0.5%
-0.42
 
0.5%
2.082
 
0.5%
4.672
 
0.5%
Other values (335)351
91.9%
ValueCountFrequency (%)
-105.21
0.3%
-34.371
0.3%
-23.781
0.3%
-19.431
0.3%
-16.961
0.3%
ValueCountFrequency (%)
25.171
0.3%
19.61
0.3%
17.891
0.3%
17.811
0.3%
16.61
0.3%

政金债-老债.43
Real number (ℝ)

ZEROS

Distinct278
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1069371728
Minimum-9.87
Maximum7.88
Zeros18
Zeros (%)4.7%
Negative187
Negative (%)49.0%
Memory size3.1 KiB
2022-03-24T10:35:10.288245image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-9.87
5-th percentile-3.439
Q1-0.8775
median0
Q30.8075
95-th percentile3.1375
Maximum7.88
Range17.75
Interquartile range (IQR)1.685

Descriptive statistics

Standard deviation2.063986483
Coefficient of variation (CV)-19.30092623
Kurtosis3.241897689
Mean-0.1069371728
Median Absolute Deviation (MAD)0.83
Skewness-0.2051452231
Sum-40.85
Variance4.260040201
MonotonicityNot monotonic
2022-03-24T10:35:10.336715image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
4.7%
-0.16
 
1.6%
-0.145
 
1.3%
0.114
 
1.0%
0.184
 
1.0%
-0.543
 
0.8%
0.413
 
0.8%
1.093
 
0.8%
-0.093
 
0.8%
0.023
 
0.8%
Other values (268)330
86.4%
ValueCountFrequency (%)
-9.871
0.3%
-7.081
0.3%
-6.671
0.3%
-6.531
0.3%
-5.681
0.3%
ValueCountFrequency (%)
7.881
0.3%
7.771
0.3%
6.771
0.3%
6.171
0.3%
5.691
0.3%

政金债-老债.44
Real number (ℝ)

ZEROS

Distinct334
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1814921466
Minimum-20.36
Maximum17.01
Zeros13
Zeros (%)3.4%
Negative188
Negative (%)49.2%
Memory size3.1 KiB
2022-03-24T10:35:10.387692image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-20.36
5-th percentile-9.0975
Q1-3.0175
median0
Q32.975
95-th percentile8.7165
Maximum17.01
Range37.37
Interquartile range (IQR)5.9925

Descriptive statistics

Standard deviation5.487005324
Coefficient of variation (CV)-30.23274245
Kurtosis1.478946628
Mean-0.1814921466
Median Absolute Deviation (MAD)3.015
Skewness-0.2004468386
Sum-69.33
Variance30.10722743
MonotonicityNot monotonic
2022-03-24T10:35:10.434904image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-0.643
 
0.8%
-1.873
 
0.8%
2.642
 
0.5%
-1.792
 
0.5%
5.022
 
0.5%
0.862
 
0.5%
-5.672
 
0.5%
3.022
 
0.5%
0.242
 
0.5%
Other values (324)349
91.4%
ValueCountFrequency (%)
-20.361
0.3%
-19.591
0.3%
-17.921
0.3%
-17.11
0.3%
-16.991
0.3%
ValueCountFrequency (%)
17.011
0.3%
16.661
0.3%
16.131
0.3%
15.811
0.3%
15.411
0.3%

政金债-老债.45
Real number (ℝ)

ZEROS

Distinct34
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01206806283
Minimum-2.67
Maximum2.05
Zeros332
Zeros (%)86.9%
Negative18
Negative (%)4.7%
Memory size3.1 KiB
2022-03-24T10:35:10.480634image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.67
5-th percentile0
Q10
median0
Q30
95-th percentile0.1
Maximum2.05
Range4.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2193444434
Coefficient of variation (CV)18.17561332
Kurtosis80.96315258
Mean0.01206806283
Median Absolute Deviation (MAD)0
Skewness-2.43203409
Sum4.61
Variance0.04811198486
MonotonicityNot monotonic
2022-03-24T10:35:10.522189image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0332
86.9%
0.536
 
1.6%
0.14
 
1.0%
-0.13
 
0.8%
0.013
 
0.8%
-0.012
 
0.5%
0.032
 
0.5%
0.312
 
0.5%
-0.052
 
0.5%
0.022
 
0.5%
Other values (24)24
 
6.3%
ValueCountFrequency (%)
-2.671
0.3%
-1.031
0.3%
-0.821
0.3%
-0.511
0.3%
-0.231
0.3%
ValueCountFrequency (%)
2.051
0.3%
1.031
0.3%
0.741
0.3%
0.641
0.3%
0.611
0.3%

政金债-老债.46
Real number (ℝ)

ZEROS

Distinct50
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00722513089
Minimum-4.68
Maximum6.64
Zeros277
Zeros (%)72.5%
Negative63
Negative (%)16.5%
Memory size3.1 KiB
2022-03-24T10:35:10.570133image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.68
5-th percentile-0.3085
Q10
median0
Q30
95-th percentile0.21
Maximum6.64
Range11.32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5337734207
Coefficient of variation (CV)-73.87733577
Kurtosis83.72960723
Mean-0.00722513089
Median Absolute Deviation (MAD)0
Skewness3.509192613
Sum-2.76
Variance0.2849140647
MonotonicityNot monotonic
2022-03-24T10:35:10.618177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277
72.5%
-0.027
 
1.8%
0.17
 
1.8%
-0.036
 
1.6%
-0.056
 
1.6%
-0.215
 
1.3%
0.215
 
1.3%
-0.314
 
1.0%
0.314
 
1.0%
0.054
 
1.0%
Other values (40)57
 
14.9%
ValueCountFrequency (%)
-4.681
0.3%
-2.521
0.3%
-2.041
0.3%
-1.641
0.3%
-1.491
0.3%
ValueCountFrequency (%)
6.641
0.3%
3.281
0.3%
1.851
0.3%
1.571
0.3%
1.031
0.3%

政金债-老债.47
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.617801047 × 10-5
Minimum-0.1
Maximum0.11
Zeros380
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size3.1 KiB
2022-03-24T10:35:10.659408image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.11
Range0.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007616072627
Coefficient of variation (CV)290.9339743
Kurtosis192.2246149
Mean2.617801047 × 10-5
Median Absolute Deviation (MAD)0
Skewness1.966556158
Sum0.01
Variance5.800456226 × 10-5
MonotonicityNot monotonic
2022-03-24T10:35:10.690170image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380
99.5%
0.111
 
0.3%
-0.11
 
0.3%
ValueCountFrequency (%)
-0.11
 
0.3%
0380
99.5%
0.111
 
0.3%
ValueCountFrequency (%)
0.111
 
0.3%
0380
99.5%
-0.11
 
0.3%

政金债-老债.49
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06664921466
Minimum-85.31
Maximum45.14
Zeros11
Zeros (%)2.9%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:35:10.732314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-85.31
5-th percentile-24.381
Q1-8.2625
median0
Q38.515
95-th percentile25.955
Maximum45.14
Range130.45
Interquartile range (IQR)16.7775

Descriptive statistics

Standard deviation15.08903135
Coefficient of variation (CV)226.3947358
Kurtosis2.773366889
Mean0.06664921466
Median Absolute Deviation (MAD)8.365
Skewness-0.4270507673
Sum25.46
Variance227.678867
MonotonicityNot monotonic
2022-03-24T10:35:10.782865image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
9.52
 
0.5%
-9.682
 
0.5%
8.052
 
0.5%
11.962
 
0.5%
7.32
 
0.5%
-12.232
 
0.5%
2.392
 
0.5%
-10.652
 
0.5%
7.312
 
0.5%
Other values (351)353
92.4%
ValueCountFrequency (%)
-85.311
0.3%
-46.31
0.3%
-44.351
0.3%
-39.921
0.3%
-34.041
0.3%
ValueCountFrequency (%)
45.141
0.3%
43.331
0.3%
39.731
0.3%
39.721
0.3%
35.31
0.3%

政金债-老债.50
Real number (ℝ)

ZEROS

Distinct345
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.959921466
Minimum-32.35
Maximum25.13
Zeros14
Zeros (%)3.7%
Negative228
Negative (%)59.7%
Memory size3.1 KiB
2022-03-24T10:35:10.832562image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-32.35
5-th percentile-23.104
Q1-7.185
median-2.005
Q31.9675
95-th percentile11.259
Maximum25.13
Range57.48
Interquartile range (IQR)9.1525

Descriptive statistics

Standard deviation9.603264058
Coefficient of variation (CV)-3.244432046
Kurtosis1.127190956
Mean-2.959921466
Median Absolute Deviation (MAD)4.595
Skewness-0.4669770484
Sum-1130.69
Variance92.22268057
MonotonicityNot monotonic
2022-03-24T10:35:10.879550image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
1.43
 
0.8%
-0.552
 
0.5%
10.392
 
0.5%
-0.422
 
0.5%
1.112
 
0.5%
-5.762
 
0.5%
-32
 
0.5%
-8.692
 
0.5%
-6.192
 
0.5%
Other values (335)349
91.4%
ValueCountFrequency (%)
-32.351
0.3%
-31.481
0.3%
-29.931
0.3%
-29.811
0.3%
-29.531
0.3%
ValueCountFrequency (%)
25.131
0.3%
24.561
0.3%
22.431
0.3%
20.211
0.3%
19.31
0.3%

政金债-老债.51
Real number (ℝ)

ZEROS

Distinct342
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5603926702
Minimum-54.48
Maximum104.26
Zeros14
Zeros (%)3.7%
Negative212
Negative (%)55.5%
Memory size3.1 KiB
2022-03-24T10:35:10.928317image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-54.48
5-th percentile-12.846
Q1-5.44
median-0.795
Q33.0075
95-th percentile13.86
Maximum104.26
Range158.74
Interquartile range (IQR)8.4475

Descriptive statistics

Standard deviation11.51120516
Coefficient of variation (CV)-20.54131999
Kurtosis23.89157137
Mean-0.5603926702
Median Absolute Deviation (MAD)4.15
Skewness2.614914454
Sum-214.07
Variance132.5078442
MonotonicityNot monotonic
2022-03-24T10:35:10.976945image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-5.874
 
1.0%
-0.893
 
0.8%
0.183
 
0.8%
-5.363
 
0.8%
-1.672
 
0.5%
-0.722
 
0.5%
-4.072
 
0.5%
2.032
 
0.5%
0.192
 
0.5%
Other values (332)345
90.3%
ValueCountFrequency (%)
-54.481
0.3%
-49.181
0.3%
-36.231
0.3%
-24.431
0.3%
-23.971
0.3%
ValueCountFrequency (%)
104.261
0.3%
58.662
0.5%
48.851
0.3%
45.071
0.3%
27.921
0.3%

政金债-老债.52
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.507460733
Minimum-43.9
Maximum113.19
Zeros13
Zeros (%)3.4%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:35:11.028292image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-43.9
5-th percentile-13.0885
Q1-4.3225
median0
Q34.3175
95-th percentile20.9895
Maximum113.19
Range157.09
Interquartile range (IQR)8.64

Descriptive statistics

Standard deviation12.96852706
Coefficient of variation (CV)8.602895435
Kurtosis22.20920691
Mean1.507460733
Median Absolute Deviation (MAD)4.325
Skewness3.318089695
Sum575.85
Variance168.1826941
MonotonicityNot monotonic
2022-03-24T10:35:11.075665image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
5.053
 
0.8%
-1.362
 
0.5%
-13.092
 
0.5%
4.222
 
0.5%
-6.232
 
0.5%
-5.662
 
0.5%
2.992
 
0.5%
-1.132
 
0.5%
-1.012
 
0.5%
Other values (338)350
91.6%
ValueCountFrequency (%)
-43.91
0.3%
-27.931
0.3%
-22.291
0.3%
-20.151
0.3%
-19.691
0.3%
ValueCountFrequency (%)
113.191
0.3%
83.821
0.3%
79.041
0.3%
52.261
0.3%
44.171
0.3%

政金债-老债.53
Real number (ℝ)

ZEROS

Distinct290
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1159424084
Minimum-26.88
Maximum50.99
Zeros25
Zeros (%)6.5%
Negative184
Negative (%)48.2%
Memory size3.1 KiB
2022-03-24T10:35:11.125895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.88
5-th percentile-8.425
Q1-1.6375
median0
Q32.03
95-th percentile7.128
Maximum50.99
Range77.87
Interquartile range (IQR)3.6675

Descriptive statistics

Standard deviation5.787328817
Coefficient of variation (CV)49.91554771
Kurtosis19.42126902
Mean0.1159424084
Median Absolute Deviation (MAD)1.785
Skewness1.457317888
Sum44.29
Variance33.49317483
MonotonicityNot monotonic
2022-03-24T10:35:11.173109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
 
6.5%
-0.454
 
1.0%
1.093
 
0.8%
-0.013
 
0.8%
-0.573
 
0.8%
3.953
 
0.8%
0.323
 
0.8%
-2.583
 
0.8%
-1.193
 
0.8%
2.413
 
0.8%
Other values (280)329
86.1%
ValueCountFrequency (%)
-26.881
0.3%
-24.911
0.3%
-19.221
0.3%
-18.381
0.3%
-17.421
0.3%
ValueCountFrequency (%)
50.991
0.3%
27.571
0.3%
21.441
0.3%
16.531
0.3%
16.511
0.3%

政金债-老债.54
Real number (ℝ)

ZEROS

Distinct354
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.059424084
Minimum-31.7
Maximum44.71
Zeros11
Zeros (%)2.9%
Negative138
Negative (%)36.1%
Memory size3.1 KiB
2022-03-24T10:35:11.223059image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-31.7
5-th percentile-13.1035
Q1-2.41
median1.94
Q37.9075
95-th percentile20.746
Maximum44.71
Range76.41
Interquartile range (IQR)10.3175

Descriptive statistics

Standard deviation10.45278971
Coefficient of variation (CV)3.41658738
Kurtosis1.868909443
Mean3.059424084
Median Absolute Deviation (MAD)5.075
Skewness0.50478901
Sum1168.7
Variance109.2608128
MonotonicityNot monotonic
2022-03-24T10:35:11.268941image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
0.72
 
0.5%
7.812
 
0.5%
0.842
 
0.5%
5.122
 
0.5%
-2.412
 
0.5%
0.832
 
0.5%
5.822
 
0.5%
1.752
 
0.5%
0.752
 
0.5%
Other values (344)353
92.4%
ValueCountFrequency (%)
-31.71
0.3%
-29.361
0.3%
-24.751
0.3%
-22.911
0.3%
-20.991
0.3%
ValueCountFrequency (%)
44.711
0.3%
41.271
0.3%
39.331
0.3%
34.221
0.3%
33.071
0.3%

政金债-老债.55
Real number (ℝ)

ZEROS

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00780104712
Minimum-0.5
Maximum1.03
Zeros357
Zeros (%)93.5%
Negative10
Negative (%)2.6%
Memory size3.1 KiB
2022-03-24T10:35:11.312005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.03
Range1.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09139560801
Coefficient of variation (CV)11.71581284
Kurtosis59.2553969
Mean0.00780104712
Median Absolute Deviation (MAD)0
Skewness5.735081026
Sum2.98
Variance0.008353157164
MonotonicityNot monotonic
2022-03-24T10:35:11.350402image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0357
93.5%
0.412
 
0.5%
0.052
 
0.5%
0.12
 
0.5%
-0.042
 
0.5%
-0.211
 
0.3%
-0.11
 
0.3%
-0.311
 
0.3%
0.311
 
0.3%
0.511
 
0.3%
Other values (12)12
 
3.1%
ValueCountFrequency (%)
-0.51
0.3%
-0.311
0.3%
-0.31
0.3%
-0.211
0.3%
-0.131
0.3%
ValueCountFrequency (%)
1.031
0.3%
0.721
0.3%
0.511
0.3%
0.51
0.3%
0.412
0.5%

政金债-老债.56
Real number (ℝ)

ZEROS

Distinct50
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01955497382
Minimum-2.86
Maximum5.64
Zeros299
Zeros (%)78.3%
Negative51
Negative (%)13.4%
Memory size3.1 KiB
2022-03-24T10:35:11.399763image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.86
5-th percentile-0.2965
Q10
median0
Q30
95-th percentile0.21
Maximum5.64
Range8.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.519730963
Coefficient of variation (CV)26.57794215
Kurtosis74.60533534
Mean0.01955497382
Median Absolute Deviation (MAD)0
Skewness6.655067815
Sum7.47
Variance0.2701202739
MonotonicityNot monotonic
2022-03-24T10:35:11.446919image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0299
78.3%
-0.17
 
1.8%
0.214
 
1.0%
-0.214
 
1.0%
-0.034
 
1.0%
0.314
 
1.0%
-0.023
 
0.8%
0.33
 
0.8%
0.22
 
0.5%
-0.112
 
0.5%
Other values (40)50
 
13.1%
ValueCountFrequency (%)
-2.861
0.3%
-1.831
0.3%
-1.051
0.3%
-1.041
0.3%
-1.021
0.3%
ValueCountFrequency (%)
5.641
0.3%
5.51
0.3%
3.331
0.3%
1.571
0.3%
1.531
0.3%

政金债-老债.59
Real number (ℝ)

ZEROS

Distinct364
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.189528796
Minimum-111.88
Maximum159.08
Zeros11
Zeros (%)2.9%
Negative189
Negative (%)49.5%
Memory size3.1 KiB
2022-03-24T10:35:11.495820image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-111.88
5-th percentile-36.1435
Q1-13.2625
median0
Q311.9225
95-th percentile43.443
Maximum159.08
Range270.96
Interquartile range (IQR)25.185

Descriptive statistics

Standard deviation26.30237763
Coefficient of variation (CV)22.11159387
Kurtosis6.901727247
Mean1.189528796
Median Absolute Deviation (MAD)12.76
Skewness1.332348103
Sum454.4
Variance691.8150691
MonotonicityNot monotonic
2022-03-24T10:35:11.543806image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-21.162
 
0.5%
36.62
 
0.5%
14.222
 
0.5%
21.652
 
0.5%
2.632
 
0.5%
-16.712
 
0.5%
3.532
 
0.5%
-9.572
 
0.5%
5.541
 
0.3%
Other values (354)354
92.7%
ValueCountFrequency (%)
-111.881
0.3%
-53.571
0.3%
-51.961
0.3%
-49.651
0.3%
-48.51
0.3%
ValueCountFrequency (%)
159.081
0.3%
139.91
0.3%
124.141
0.3%
85.711
0.3%
84.861
0.3%

政金债-老债.60
Real number (ℝ)

ZEROS

Distinct360
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.00109948
Minimum-91.69
Maximum96.5
Zeros12
Zeros (%)3.1%
Negative58
Negative (%)15.2%
Memory size3.1 KiB
2022-03-24T10:35:11.592422image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-91.69
5-th percentile-9.5585
Q11.5725
median8.355
Q316.865
95-th percentile33.678
Maximum96.5
Range188.19
Interquartile range (IQR)15.2925

Descriptive statistics

Standard deviation15.56366867
Coefficient of variation (CV)1.556195767
Kurtosis9.125503553
Mean10.00109948
Median Absolute Deviation (MAD)7.62
Skewness-0.1122823489
Sum3820.42
Variance242.2277825
MonotonicityNot monotonic
2022-03-24T10:35:11.641109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
8.273
 
0.8%
18.052
 
0.5%
13.982
 
0.5%
1.642
 
0.5%
3.662
 
0.5%
4.272
 
0.5%
11.412
 
0.5%
4.872
 
0.5%
19.012
 
0.5%
Other values (350)351
91.9%
ValueCountFrequency (%)
-91.691
0.3%
-65.871
0.3%
-43.381
0.3%
-30.391
0.3%
-25.951
0.3%
ValueCountFrequency (%)
96.51
0.3%
70.621
0.3%
60.571
0.3%
58.291
0.3%
55.61
0.3%

政金债-老债.61
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.558717277
Minimum-107.98
Maximum105.45
Zeros11
Zeros (%)2.9%
Negative130
Negative (%)34.0%
Memory size3.1 KiB
2022-03-24T10:35:12.002229image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-107.98
5-th percentile-21.5965
Q1-1.3175
median2.33
Q39.0675
95-th percentile25.096
Maximum105.45
Range213.43
Interquartile range (IQR)10.385

Descriptive statistics

Standard deviation18.72944934
Coefficient of variation (CV)5.262977607
Kurtosis10.03080063
Mean3.558717277
Median Absolute Deviation (MAD)4.91
Skewness0.3002071646
Sum1359.43
Variance350.7922726
MonotonicityNot monotonic
2022-03-24T10:35:12.048222image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
0.33
 
0.8%
2.433
 
0.8%
8.213
 
0.8%
-2.282
 
0.5%
21.182
 
0.5%
-8.522
 
0.5%
-2.992
 
0.5%
1.542
 
0.5%
2.252
 
0.5%
Other values (339)350
91.6%
ValueCountFrequency (%)
-107.981
0.3%
-68.881
0.3%
-64.931
0.3%
-58.681
0.3%
-51.591
0.3%
ValueCountFrequency (%)
105.451
0.3%
97.181
0.3%
78.641
0.3%
75.161
0.3%
67.691
0.3%

政金债-老债.62
Real number (ℝ)

ZEROS

Distinct344
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.779188482
Minimum-38.5
Maximum54.08
Zeros14
Zeros (%)3.7%
Negative201
Negative (%)52.6%
Memory size3.1 KiB
2022-03-24T10:35:12.097445image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-38.5
5-th percentile-20.3295
Q1-5.9925
median-0.86
Q33.075
95-th percentile11.0375
Maximum54.08
Range92.58
Interquartile range (IQR)9.0675

Descriptive statistics

Standard deviation9.840872725
Coefficient of variation (CV)-5.531101862
Kurtosis3.970175154
Mean-1.779188482
Median Absolute Deviation (MAD)4.58
Skewness0.140858488
Sum-679.65
Variance96.84277598
MonotonicityNot monotonic
2022-03-24T10:35:12.146647image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
0.23
 
0.8%
0.12
 
0.5%
3.832
 
0.5%
0.52
 
0.5%
0.272
 
0.5%
2.432
 
0.5%
-7.422
 
0.5%
0.632
 
0.5%
-2.732
 
0.5%
Other values (334)349
91.4%
ValueCountFrequency (%)
-38.51
0.3%
-33.941
0.3%
-29.261
0.3%
-28.791
0.3%
-27.751
0.3%
ValueCountFrequency (%)
54.081
0.3%
33.261
0.3%
29.271
0.3%
28.191
0.3%
25.631
0.3%

政金债-老债.63
Real number (ℝ)

ZEROS

Distinct312
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.639659686
Minimum-37.6
Maximum18.62
Zeros27
Zeros (%)7.1%
Negative243
Negative (%)63.6%
Memory size3.1 KiB
2022-03-24T10:35:12.196761image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-37.6
5-th percentile-17.308
Q1-5.5775
median-1.02
Q30.335
95-th percentile8.4745
Maximum18.62
Range56.22
Interquartile range (IQR)5.9125

Descriptive statistics

Standard deviation7.811360805
Coefficient of variation (CV)-2.959230255
Kurtosis3.285107136
Mean-2.639659686
Median Absolute Deviation (MAD)2.64
Skewness-1.106640284
Sum-1008.35
Variance61.01735763
MonotonicityNot monotonic
2022-03-24T10:35:12.245778image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
7.1%
-0.514
 
1.0%
-0.824
 
1.0%
-0.23
 
0.8%
-0.013
 
0.8%
-1.443
 
0.8%
-0.323
 
0.8%
-1.022
 
0.5%
-0.562
 
0.5%
2.152
 
0.5%
Other values (302)329
86.1%
ValueCountFrequency (%)
-37.61
0.3%
-36.21
0.3%
-34.31
0.3%
-30.41
0.3%
-29.331
0.3%
ValueCountFrequency (%)
18.621
0.3%
18.391
0.3%
16.391
0.3%
15.421
0.3%
15.031
0.3%

政金债-老债.64
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.258115183
Minimum-49.7
Maximum56.66
Zeros12
Zeros (%)3.1%
Negative206
Negative (%)53.9%
Memory size3.1 KiB
2022-03-24T10:35:12.295575image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.7
5-th percentile-22.5755
Q1-8.735
median-0.92
Q34.2375
95-th percentile15.9795
Maximum56.66
Range106.36
Interquartile range (IQR)12.9725

Descriptive statistics

Standard deviation12.01606244
Coefficient of variation (CV)-5.32127968
Kurtosis2.506437054
Mean-2.258115183
Median Absolute Deviation (MAD)5.88
Skewness-0.2369748209
Sum-862.6
Variance144.3857565
MonotonicityNot monotonic
2022-03-24T10:35:12.343358image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
2.683
 
0.8%
-3.453
 
0.8%
5.182
 
0.5%
8.922
 
0.5%
0.712
 
0.5%
-9.572
 
0.5%
-0.782
 
0.5%
1.362
 
0.5%
4.122
 
0.5%
Other values (341)350
91.6%
ValueCountFrequency (%)
-49.71
0.3%
-44.991
0.3%
-41.961
0.3%
-40.211
0.3%
-33.671
0.3%
ValueCountFrequency (%)
56.661
0.3%
31.471
0.3%
25.321
0.3%
25.061
0.3%
24.51
0.3%

政金债-老债.65
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006308900524
Minimum-4.26
Maximum1.4
Zeros366
Zeros (%)95.8%
Negative6
Negative (%)1.6%
Memory size3.1 KiB
2022-03-24T10:35:12.382378image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.26
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.4
Range5.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2978562758
Coefficient of variation (CV)-47.21207359
Kurtosis129.1527608
Mean-0.006308900524
Median Absolute Deviation (MAD)0
Skewness-8.954538785
Sum-2.41
Variance0.08871836102
MonotonicityNot monotonic
2022-03-24T10:35:12.414933image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0366
95.8%
0.212
 
0.5%
0.521
 
0.3%
-0.541
 
0.3%
0.531
 
0.3%
1.271
 
0.3%
1.281
 
0.3%
0.861
 
0.3%
1.41
 
0.3%
0.321
 
0.3%
Other values (6)6
 
1.6%
ValueCountFrequency (%)
-4.261
0.3%
-2.681
0.3%
-1.121
0.3%
-0.541
0.3%
-0.411
0.3%
ValueCountFrequency (%)
1.41
0.3%
1.281
0.3%
1.271
0.3%
0.861
0.3%
0.531
0.3%

政金债-老债.66
Real number (ℝ)

ZEROS

Distinct58
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08054973822
Minimum-2.95
Maximum6.46
Zeros295
Zeros (%)77.2%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:35:12.457776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-2.95
5-th percentile-0.405
Q10
median0
Q30
95-th percentile1.04
Maximum6.46
Range9.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6644311295
Coefficient of variation (CV)8.248706255
Kurtosis30.30767096
Mean0.08054973822
Median Absolute Deviation (MAD)0
Skewness3.43402442
Sum30.77
Variance0.4414687259
MonotonicityNot monotonic
2022-03-24T10:35:12.504861image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0295
77.2%
-0.122
 
5.8%
1.043
 
0.8%
0.213
 
0.8%
0.512
 
0.5%
-0.522
 
0.5%
1.022
 
0.5%
0.12
 
0.5%
-0.422
 
0.5%
-0.611
 
0.3%
Other values (48)48
 
12.6%
ValueCountFrequency (%)
-2.951
0.3%
-2.851
0.3%
-1.721
0.3%
-1.581
0.3%
-1.541
0.3%
ValueCountFrequency (%)
6.461
0.3%
3.971
0.3%
3.351
0.3%
2.91
0.3%
2.621
0.3%

政金债-老债.69
Real number (ℝ)

ZEROS

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.956937173
Minimum-157.4
Maximum135.35
Zeros11
Zeros (%)2.9%
Negative148
Negative (%)38.7%
Memory size3.1 KiB
2022-03-24T10:35:12.551461image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-157.4
5-th percentile-46.291
Q1-12.5925
median5.185
Q325.565
95-th percentile63.124
Maximum135.35
Range292.75
Interquartile range (IQR)38.1575

Descriptive statistics

Standard deviation34.05004654
Coefficient of variation (CV)4.894401904
Kurtosis2.164777076
Mean6.956937173
Median Absolute Deviation (MAD)18.64
Skewness-0.1180972106
Sum2657.55
Variance1159.40567
MonotonicityNot monotonic
2022-03-24T10:35:12.596632image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
19.92
 
0.5%
-0.482
 
0.5%
-6.852
 
0.5%
-1.112
 
0.5%
2.42
 
0.5%
22.512
 
0.5%
6.062
 
0.5%
-1.641
 
0.3%
1.41
 
0.3%
Other values (355)355
92.9%
ValueCountFrequency (%)
-157.41
0.3%
-101.861
0.3%
-101.411
0.3%
-92.741
0.3%
-75.691
0.3%
ValueCountFrequency (%)
135.351
0.3%
115.021
0.3%
102.61
0.3%
97.271
0.3%
91.771
0.3%

政金债-老债.70
Real number (ℝ)

ZEROS

Distinct343
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.193246073
Minimum-43.44
Maximum26
Zeros14
Zeros (%)3.7%
Negative302
Negative (%)79.1%
Memory size3.1 KiB
2022-03-24T10:35:12.644311image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-43.44
5-th percentile-24.6575
Q1-11.995
median-5.975
Q3-1.01
95-th percentile5.85
Maximum26
Range69.44
Interquartile range (IQR)10.985

Descriptive statistics

Standard deviation9.545280729
Coefficient of variation (CV)-1.3269782
Kurtosis1.45301824
Mean-7.193246073
Median Absolute Deviation (MAD)5.565
Skewness-0.6076818274
Sum-2747.82
Variance91.11238419
MonotonicityNot monotonic
2022-03-24T10:35:12.690969image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
3.7%
-53
 
0.8%
-1.13
 
0.8%
-1.012
 
0.5%
0.32
 
0.5%
-1.22
 
0.5%
-3.52
 
0.5%
-11.82
 
0.5%
-0.012
 
0.5%
-6.182
 
0.5%
Other values (333)348
91.1%
ValueCountFrequency (%)
-43.441
0.3%
-42.411
0.3%
-38.691
0.3%
-35.391
0.3%
-35.141
0.3%
ValueCountFrequency (%)
261
0.3%
21.171
0.3%
16.71
0.3%
16.081
0.3%
13.381
0.3%

政金债-老债.71
Real number (ℝ)

ZEROS

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.131099476
Minimum-50.6
Maximum33.92
Zeros11
Zeros (%)2.9%
Negative289
Negative (%)75.7%
Memory size3.1 KiB
2022-03-24T10:35:12.740553image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-50.6
5-th percentile-24.7495
Q1-11.2175
median-4.815
Q3-0.03
95-th percentile9.99
Maximum33.92
Range84.52
Interquartile range (IQR)11.1875

Descriptive statistics

Standard deviation10.95134073
Coefficient of variation (CV)-1.786195245
Kurtosis2.962547029
Mean-6.131099476
Median Absolute Deviation (MAD)4.99
Skewness-0.7819849928
Sum-2342.08
Variance119.9318639
MonotonicityNot monotonic
2022-03-24T10:35:12.787231image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-5.943
 
0.8%
3.952
 
0.5%
-4.062
 
0.5%
-4.82
 
0.5%
-0.032
 
0.5%
-10.092
 
0.5%
6.472
 
0.5%
-4.712
 
0.5%
-8.512
 
0.5%
Other values (341)352
92.1%
ValueCountFrequency (%)
-50.61
0.3%
-49.261
0.3%
-46.781
0.3%
-46.271
0.3%
-44.71
0.3%
ValueCountFrequency (%)
33.921
0.3%
28.191
0.3%
23.121
0.3%
19.721
0.3%
17.351
0.3%

政金债-老债.72
Real number (ℝ)

ZEROS

Distinct350
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.702251309
Minimum-73.2
Maximum77.14
Zeros11
Zeros (%)2.9%
Negative255
Negative (%)66.8%
Memory size3.1 KiB
2022-03-24T10:35:12.833982image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-73.2
5-th percentile-25.1215
Q1-10.5475
median-3.97
Q32.395
95-th percentile13.18
Maximum77.14
Range150.34
Interquartile range (IQR)12.9425

Descriptive statistics

Standard deviation13.37094842
Coefficient of variation (CV)-2.84352059
Kurtosis5.75817409
Mean-4.702251309
Median Absolute Deviation (MAD)6.545
Skewness-0.1694809654
Sum-1796.26
Variance178.7822616
MonotonicityNot monotonic
2022-03-24T10:35:12.880403image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
7.963
 
0.8%
3.282
 
0.5%
-3.472
 
0.5%
-9.192
 
0.5%
-3.232
 
0.5%
-0.572
 
0.5%
13.182
 
0.5%
-8.752
 
0.5%
-11.892
 
0.5%
Other values (340)352
92.1%
ValueCountFrequency (%)
-73.21
0.3%
-51.961
0.3%
-48.931
0.3%
-48.511
0.3%
-43.441
0.3%
ValueCountFrequency (%)
77.141
0.3%
29.571
0.3%
28.91
0.3%
27.371
0.3%
26.681
0.3%

政金债-老债.73
Real number (ℝ)

ZEROS

Distinct349
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.148795812
Minimum-69.58
Maximum48.31
Zeros12
Zeros (%)3.1%
Negative204
Negative (%)53.4%
Memory size3.1 KiB
2022-03-24T10:35:12.930586image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-69.58
5-th percentile-25.995
Q1-5.1925
median-0.355
Q33.0025
95-th percentile15.5475
Maximum48.31
Range117.89
Interquartile range (IQR)8.195

Descriptive statistics

Standard deviation13.46923194
Coefficient of variation (CV)-6.268269822
Kurtosis6.326257301
Mean-2.148795812
Median Absolute Deviation (MAD)3.985
Skewness-1.334689608
Sum-820.84
Variance181.420209
MonotonicityNot monotonic
2022-03-24T10:35:12.981856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
0.313
 
0.8%
2.922
 
0.5%
1.762
 
0.5%
-1.852
 
0.5%
4.642
 
0.5%
4.122
 
0.5%
-5.922
 
0.5%
-2.952
 
0.5%
-3.542
 
0.5%
Other values (339)351
91.9%
ValueCountFrequency (%)
-69.581
0.3%
-61.291
0.3%
-59.161
0.3%
-57.961
0.3%
-55.281
0.3%
ValueCountFrequency (%)
48.311
0.3%
43.391
0.3%
34.91
0.3%
33.981
0.3%
32.741
0.3%

政金债-老债.74
Real number (ℝ)

ZEROS

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.326910995
Minimum-74.17
Maximum93.96
Zeros12
Zeros (%)3.1%
Negative246
Negative (%)64.4%
Memory size3.1 KiB
2022-03-24T10:35:13.034410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-74.17
5-th percentile-29.5335
Q1-13.0225
median-5.02
Q32.55
95-th percentile18.528
Maximum93.96
Range168.13
Interquartile range (IQR)15.5725

Descriptive statistics

Standard deviation16.43503383
Coefficient of variation (CV)-3.085284106
Kurtosis5.187685797
Mean-5.326910995
Median Absolute Deviation (MAD)7.715
Skewness0.2957327193
Sum-2034.88
Variance270.1103369
MonotonicityNot monotonic
2022-03-24T10:35:13.084636image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
-6.062
 
0.5%
-20.592
 
0.5%
1.252
 
0.5%
-17.652
 
0.5%
-7.732
 
0.5%
-16.232
 
0.5%
-9.742
 
0.5%
-6.822
 
0.5%
-5.982
 
0.5%
Other values (346)352
92.1%
ValueCountFrequency (%)
-74.171
0.3%
-59.551
0.3%
-55.151
0.3%
-54.21
0.3%
-54.121
0.3%
ValueCountFrequency (%)
93.961
0.3%
51.291
0.3%
51.251
0.3%
43.081
0.3%
40.081
0.3%

政金债-老债.75
Real number (ℝ)

ZEROS

Distinct46
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02767015707
Minimum-5.09
Maximum4.55
Zeros309
Zeros (%)80.9%
Negative44
Negative (%)11.5%
Memory size3.1 KiB
2022-03-24T10:35:13.138565image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-5.09
5-th percentile-0.5295
Q10
median0
Q30
95-th percentile0.31
Maximum4.55
Range9.64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4813155268
Coefficient of variation (CV)-17.39475225
Kurtosis57.63759992
Mean-0.02767015707
Median Absolute Deviation (MAD)0
Skewness-1.140287684
Sum-10.57
Variance0.2316646363
MonotonicityNot monotonic
2022-03-24T10:35:13.187196image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0309
80.9%
-0.537
 
1.8%
0.316
 
1.6%
-0.314
 
1.0%
0.13
 
0.8%
-0.13
 
0.8%
-0.42
 
0.5%
0.542
 
0.5%
0.22
 
0.5%
-0.32
 
0.5%
Other values (36)42
 
11.0%
ValueCountFrequency (%)
-5.091
0.3%
-2.561
0.3%
-2.051
0.3%
-1.911
0.3%
-1.241
0.3%
ValueCountFrequency (%)
4.551
0.3%
2.391
0.3%
1.571
0.3%
1.31
0.3%
1.051
0.3%

政金债-老债.76
Real number (ℝ)

ZEROS

Distinct116
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07876963351
Minimum-4.88
Maximum3.9
Zeros177
Zeros (%)46.3%
Negative116
Negative (%)30.4%
Memory size3.1 KiB
2022-03-24T10:35:13.239114image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.88
5-th percentile-1.5385
Q1-0.2
median0
Q30
95-th percentile1.3075
Maximum3.9
Range8.78
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.8811003645
Coefficient of variation (CV)-11.18578728
Kurtosis7.688674385
Mean-0.07876963351
Median Absolute Deviation (MAD)0.1
Skewness-0.5768718367
Sum-30.09
Variance0.7763378523
MonotonicityNot monotonic
2022-03-24T10:35:13.290361image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0177
46.3%
-0.113
 
3.4%
-0.319
 
2.4%
-0.518
 
2.1%
0.218
 
2.1%
0.16
 
1.6%
-0.25
 
1.3%
-0.215
 
1.3%
0.325
 
1.3%
-0.535
 
1.3%
Other values (106)141
36.9%
ValueCountFrequency (%)
-4.881
0.3%
-4.481
0.3%
-3.41
0.3%
-3.291
0.3%
-3.161
0.3%
ValueCountFrequency (%)
3.91
0.3%
3.611
0.3%
3.51
0.3%
2.841
0.3%
2.61
0.3%

政金债-老债.77
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001518324607
Minimum0
Maximum0.58
Zeros381
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2022-03-24T10:35:13.331819image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.58
Range0.58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02967538159
Coefficient of variation (CV)19.54482029
Kurtosis382
Mean0.001518324607
Median Absolute Deviation (MAD)0
Skewness19.54482029
Sum0.58
Variance0.0008806282723
MonotonicityNot monotonic
2022-03-24T10:35:13.364750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0381
99.7%
0.581
 
0.3%
ValueCountFrequency (%)
0381
99.7%
0.581
 
0.3%
ValueCountFrequency (%)
0.581
 
0.3%
0381
99.7%

政金债-老债.79
Real number (ℝ)

ZEROS

Distinct366
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.60759162
Minimum-150.16
Maximum96.41
Zeros11
Zeros (%)2.9%
Negative305
Negative (%)79.8%
Memory size3.1 KiB
2022-03-24T10:35:13.410246image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-150.16
5-th percentile-81.323
Q1-44.5275
median-23.78
Q3-5.24
95-th percentile28.415
Maximum96.41
Range246.57
Interquartile range (IQR)39.2875

Descriptive statistics

Standard deviation33.81274863
Coefficient of variation (CV)-1.320418926
Kurtosis1.290555177
Mean-25.60759162
Median Absolute Deviation (MAD)19.7
Skewness-0.2801583912
Sum-9782.1
Variance1143.30197
MonotonicityNot monotonic
2022-03-24T10:35:13.463105image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-5.942
 
0.5%
-29.12
 
0.5%
-16.52
 
0.5%
-17.222
 
0.5%
-12.632
 
0.5%
-8.162
 
0.5%
-29.461
 
0.3%
-18.581
 
0.3%
-57.931
 
0.3%
Other values (356)356
93.2%
ValueCountFrequency (%)
-150.161
0.3%
-138.951
0.3%
-138.351
0.3%
-122.841
0.3%
-119.631
0.3%
ValueCountFrequency (%)
96.411
0.3%
75.671
0.3%
69.031
0.3%
50.811
0.3%
45.791
0.3%

政金债-老债.80
Real number (ℝ)

ZEROS

Distinct348
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.145968586
Minimum-81.77
Maximum36.79
Zeros13
Zeros (%)3.4%
Negative247
Negative (%)64.7%
Memory size3.1 KiB
2022-03-24T10:35:13.515081image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-81.77
5-th percentile-25.1825
Q1-12.8725
median-4.62
Q31.755
95-th percentile15.8335
Maximum36.79
Range118.56
Interquartile range (IQR)14.6275

Descriptive statistics

Standard deviation13.67323091
Coefficient of variation (CV)-2.657076249
Kurtosis5.131437211
Mean-5.145968586
Median Absolute Deviation (MAD)7.105
Skewness-0.8876775555
Sum-1965.76
Variance186.9572435
MonotonicityNot monotonic
2022-03-24T10:35:13.565000image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-9.733
 
0.8%
-10.133
 
0.8%
-12.822
 
0.5%
-3.082
 
0.5%
-0.542
 
0.5%
0.982
 
0.5%
9.432
 
0.5%
-11.012
 
0.5%
-7.222
 
0.5%
Other values (338)349
91.4%
ValueCountFrequency (%)
-81.771
0.3%
-73.511
0.3%
-73.161
0.3%
-37.011
0.3%
-36.51
0.3%
ValueCountFrequency (%)
36.791
0.3%
34.561
0.3%
34.281
0.3%
29.721
0.3%
24.241
0.3%

政金债-老债.81
Real number (ℝ)

ZEROS

Distinct361
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.828874346
Minimum-64.43
Maximum45.07
Zeros13
Zeros (%)3.4%
Negative225
Negative (%)58.9%
Memory size3.1 KiB
2022-03-24T10:35:13.615662image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-64.43
5-th percentile-30.004
Q1-12.52
median-3.02
Q35.78
95-th percentile20.6805
Maximum45.07
Range109.5
Interquartile range (IQR)18.3

Descriptive statistics

Standard deviation15.61876269
Coefficient of variation (CV)-4.079204822
Kurtosis0.8293419382
Mean-3.828874346
Median Absolute Deviation (MAD)9.17
Skewness-0.3320795663
Sum-1462.63
Variance243.9457481
MonotonicityNot monotonic
2022-03-24T10:35:13.663756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-7.842
 
0.5%
-8.572
 
0.5%
-4.892
 
0.5%
9.292
 
0.5%
-19.22
 
0.5%
14.732
 
0.5%
-6.992
 
0.5%
-3.562
 
0.5%
-8.232
 
0.5%
Other values (351)351
91.9%
ValueCountFrequency (%)
-64.431
0.3%
-53.491
0.3%
-46.341
0.3%
-46.121
0.3%
-45.171
0.3%
ValueCountFrequency (%)
45.071
0.3%
36.331
0.3%
34.381
0.3%
31.811
0.3%
30.151
0.3%

政金债-老债.82
Real number (ℝ)

ZEROS

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.48408377
Minimum-53.93
Maximum61.24
Zeros12
Zeros (%)3.1%
Negative230
Negative (%)60.2%
Memory size3.1 KiB
2022-03-24T10:35:13.711753image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-53.93
5-th percentile-28.6595
Q1-10.655
median-2.51
Q34.0125
95-th percentile19.3495
Maximum61.24
Range115.17
Interquartile range (IQR)14.6675

Descriptive statistics

Standard deviation14.26027414
Coefficient of variation (CV)-4.092976828
Kurtosis1.895229476
Mean-3.48408377
Median Absolute Deviation (MAD)7.18
Skewness-0.05263300514
Sum-1330.92
Variance203.3554184
MonotonicityNot monotonic
2022-03-24T10:35:13.757555image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
3.1%
4.033
 
0.8%
-0.322
 
0.5%
3.382
 
0.5%
2.722
 
0.5%
-5.12
 
0.5%
-8.872
 
0.5%
-8.782
 
0.5%
0.192
 
0.5%
9.852
 
0.5%
Other values (349)351
91.9%
ValueCountFrequency (%)
-53.931
0.3%
-53.181
0.3%
-49.341
0.3%
-42.281
0.3%
-38.431
0.3%
ValueCountFrequency (%)
61.241
0.3%
37.431
0.3%
35.181
0.3%
32.51
0.3%
31.871
0.3%

政金债-老债.83
Real number (ℝ)

ZEROS

Distinct346
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.275680628
Minimum-49.13
Maximum59.37
Zeros13
Zeros (%)3.4%
Negative202
Negative (%)52.9%
Memory size3.1 KiB
2022-03-24T10:35:13.805184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-49.13
5-th percentile-17.9775
Q1-6.1
median-0.685
Q32.9225
95-th percentile15.06
Maximum59.37
Range108.5
Interquartile range (IQR)9.0225

Descriptive statistics

Standard deviation10.67228724
Coefficient of variation (CV)-8.365955398
Kurtosis5.07437966
Mean-1.275680628
Median Absolute Deviation (MAD)4.555
Skewness0.2811291855
Sum-487.31
Variance113.8977149
MonotonicityNot monotonic
2022-03-24T10:35:13.855273image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
3.4%
-2.543
 
0.8%
-1.852
 
0.5%
1.272
 
0.5%
-1.372
 
0.5%
4.872
 
0.5%
-3.462
 
0.5%
0.082
 
0.5%
-1.232
 
0.5%
-3.342
 
0.5%
Other values (336)350
91.6%
ValueCountFrequency (%)
-49.131
0.3%
-39.181
0.3%
-34.291
0.3%
-33.331
0.3%
-33.211
0.3%
ValueCountFrequency (%)
59.371
0.3%
38.871
0.3%
31.681
0.3%
31.381
0.3%
29.11
0.3%

政金债-老债.84
Real number (ℝ)

ZEROS

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.28986911
Minimum-107.49
Maximum80.83
Zeros11
Zeros (%)2.9%
Negative228
Negative (%)59.7%
Memory size3.1 KiB
2022-03-24T10:35:13.906060image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-107.49
5-th percentile-50.0355
Q1-21.4875
median-5.625
Q37.3175
95-th percentile32.1185
Maximum80.83
Range188.32
Interquartile range (IQR)28.805

Descriptive statistics

Standard deviation25.5746849
Coefficient of variation (CV)-3.508250219
Kurtosis1.433596966
Mean-7.28986911
Median Absolute Deviation (MAD)14.13
Skewness-0.2645521152
Sum-2784.73
Variance654.0645079
MonotonicityNot monotonic
2022-03-24T10:35:13.953853image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-7.52
 
0.5%
-2.082
 
0.5%
-42.672
 
0.5%
-5.382
 
0.5%
-56.492
 
0.5%
5.582
 
0.5%
8.512
 
0.5%
-25.221
 
0.3%
-0.11
 
0.3%
Other values (355)355
92.9%
ValueCountFrequency (%)
-107.491
0.3%
-104.261
0.3%
-92.61
0.3%
-79.931
0.3%
-75.051
0.3%
ValueCountFrequency (%)
80.831
0.3%
59.811
0.3%
58.551
0.3%
58.451
0.3%
57.591
0.3%

政金债-老债.85
Real number (ℝ)

ZEROS

Distinct54
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006178010471
Minimum-1.79
Maximum2.25
Zeros271
Zeros (%)70.9%
Negative60
Negative (%)15.7%
Memory size3.1 KiB
2022-03-24T10:35:14.004960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-0.4965
Q10
median0
Q30
95-th percentile0.4
Maximum2.25
Range4.04
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.291543183
Coefficient of variation (CV)-47.19046436
Kurtosis16.60016568
Mean-0.006178010471
Median Absolute Deviation (MAD)0
Skewness0.4459988333
Sum-2.36
Variance0.08499742755
MonotonicityNot monotonic
2022-03-24T10:35:14.052516image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0271
70.9%
0.217
 
1.8%
-0.316
 
1.6%
-0.16
 
1.6%
0.15
 
1.3%
-0.25
 
1.3%
-0.215
 
1.3%
-0.524
 
1.0%
-0.34
 
1.0%
0.314
 
1.0%
Other values (44)65
 
17.0%
ValueCountFrequency (%)
-1.791
0.3%
-1.421
0.3%
-1.191
0.3%
-0.991
0.3%
-0.861
0.3%
ValueCountFrequency (%)
2.251
0.3%
1.181
0.3%
12
0.5%
0.91
0.3%
0.881
0.3%

政金债-老债.86
Real number (ℝ)

ZEROS

Distinct133
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05594240838
Minimum-4.59
Maximum4.7
Zeros145
Zeros (%)38.0%
Negative140
Negative (%)36.6%
Memory size3.1 KiB
2022-03-24T10:35:14.103350image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-4.59
5-th percentile-1.289
Q1-0.3075
median0
Q30.0175
95-th percentile1.319
Maximum4.7
Range9.29
Interquartile range (IQR)0.325

Descriptive statistics

Standard deviation0.9264985177
Coefficient of variation (CV)-16.56164875
Kurtosis7.96722308
Mean-0.05594240838
Median Absolute Deviation (MAD)0.175
Skewness0.3205673611
Sum-21.37
Variance0.8583995032
MonotonicityNot monotonic
2022-03-24T10:35:14.151326image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0145
38.0%
-0.114
 
3.7%
0.110
 
2.6%
-0.418
 
2.1%
0.217
 
1.8%
0.316
 
1.6%
-0.216
 
1.6%
-0.116
 
1.6%
-0.315
 
1.3%
-0.735
 
1.3%
Other values (123)170
44.5%
ValueCountFrequency (%)
-4.591
0.3%
-4.011
0.3%
-3.741
0.3%
-3.011
0.3%
-2.991
0.3%
ValueCountFrequency (%)
4.71
0.3%
4.51
0.3%
3.831
0.3%
3.251
0.3%
3.161
0.3%

政金债-老债.87
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02573298429
Minimum-6.86
Maximum0.23
Zeros378
Zeros (%)99.0%
Negative3
Negative (%)0.8%
Memory size3.1 KiB
2022-03-24T10:35:14.189524image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.86
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.23
Range7.09
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3824679657
Coefficient of variation (CV)-14.86294638
Kurtosis278.1734054
Mean-0.02573298429
Median Absolute Deviation (MAD)0
Skewness-16.25673711
Sum-9.83
Variance0.1462817448
MonotonicityNot monotonic
2022-03-24T10:35:14.220557image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0378
99.0%
-6.861
 
0.3%
-2.971
 
0.3%
-0.231
 
0.3%
0.231
 
0.3%
ValueCountFrequency (%)
-6.861
 
0.3%
-2.971
 
0.3%
-0.231
 
0.3%
0378
99.0%
0.231
 
0.3%
ValueCountFrequency (%)
0.231
 
0.3%
0378
99.0%
-0.231
 
0.3%
-2.971
 
0.3%
-6.861
 
0.3%

政金债-老债.89
Real number (ℝ)

ZEROS

Distinct368
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-21.11222513
Minimum-181.26
Maximum116.44
Zeros11
Zeros (%)2.9%
Negative253
Negative (%)66.2%
Memory size3.1 KiB
2022-03-24T10:35:14.263668image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-181.26
5-th percentile-92.7315
Q1-53.9525
median-19.57
Q37.2775
95-th percentile54.862
Maximum116.44
Range297.7
Interquartile range (IQR)61.23

Descriptive statistics

Standard deviation44.22595103
Coefficient of variation (CV)-2.094802929
Kurtosis0.5526570803
Mean-21.11222513
Median Absolute Deviation (MAD)29.51
Skewness0.0124970118
Sum-8064.87
Variance1955.934745
MonotonicityNot monotonic
2022-03-24T10:35:14.307380image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
2.9%
-56.892
 
0.5%
12.642
 
0.5%
-64.412
 
0.5%
-55.432
 
0.5%
-29.771
 
0.3%
48.941
 
0.3%
-4.871
 
0.3%
-31.061
 
0.3%
-11.771
 
0.3%
Other values (358)358
93.7%
ValueCountFrequency (%)
-181.261
0.3%
-148.891
0.3%
-131.811
0.3%
-129.331
0.3%
-126.331
0.3%
ValueCountFrequency (%)
116.441
0.3%
105.591
0.3%
102.31
0.3%
96.41
0.3%
94.681
0.3%